Careers

Ascension LLC is seeking a Visualization Developer (Business Data Analyst II) to support pilot analytics and enterprise reporting initiatives. This role is responsible for designing, developing, and maintaining interactive dashboards and visual analytics products that enable data-driven decision-making across mission-critical programs.

The ideal candidate is a detail-oriented and technically proficient analyst who excels at translating complex datasets into intuitive, actionable visualizations. This individual must be comfortable working in a dynamic, evolving environment, collaborating with both technical and non-technical stakeholders, and proactively identifying opportunities to improve data storytelling and reporting efficiency.

This role supports key PWS tasks including Pilot Analytics (4.12) and Reporting (4.15), requiring hands-on experience with BI tools, data modeling, and visualization best practices. The candidate should be self-driven, capable of managing multiple priorities, and skilled at anticipating stakeholder needs while delivering high-quality, user-centric dashboards.

Key Responsibilities

• Design intuitive dashboards and visualizations that communicate key performance indicators and program outcomes
• Develop and maintain BI solutions using tools such as Power BI, Tableau, or similar platforms
• Translate business requirements into technical visualization specifications and data models
• Collaborate with data engineers and analysts to ensure data accuracy, consistency, and usability
• Optimize dashboard performance and usability for diverse stakeholder groups
• Conduct data validation and quality assurance to ensure reliability of reporting outputs
• Support pilot analytics initiatives by developing rapid-turnaround visual products
• Automate reporting processes to reduce manual effort and improve timeliness
• Document visualization standards, data definitions, and reporting methodologies
• Present findings and insights to stakeholders in a clear, concise, and actionable manner

Ascension LLC is seeking a ServiceNow Business Analyst / Workflow Specialist to support the Comptroller of Maryland’s IAM Program, a mission-critical initiative focused on modernizing identity lifecycle management, access provisioning, and governance workflows across enterprise systems.

This role is ideal for a hybrid functional-technical professional who excels at translating complex IAM requirements into scalable, automated ServiceNow workflows. The selected candidate will play a critical role in designing, implementing, and optimizing access request, approval, and lifecycle processes, ensuring alignment with security policies, compliance mandates, and operational efficiency goals.

We are looking for someone who brings:

• Deep understanding of IAM concepts (provisioning, RBAC, lifecycle management)
• Hands-on experience with ServiceNow workflow design and configuration
• Strong stakeholder engagement and requirements elicitation skills
• The ability to bridge business needs and technical execution

Position Summary

The ServiceNow Business Analyst / Workflow Specialist will support the Comptroller of Maryland’s IAM Professional Services initiative by leading requirements gathering, designing workflow automation solutions, supporting implementation, and driving continuous process improvement.

This role operates at the intersection of business analysis, IAM strategy, and ServiceNow development, ensuring that identity and access processes are efficient, auditable, and scalable.

The ideal candidate is:

• Detail-oriented and highly organized, with the ability to manage multiple workflow streams simultaneously
• Self-driven and comfortable working in evolving environments with minimal supervision
• Skilled at identifying inefficiencies and designing optimized workflow solutions
• Adept at collaborating across business units, security teams, and technical teams

The candidate will help the client solve challenges such as:

• Inefficient or manual access request and approval processes
• Lack of standardized identity lifecycle workflows
• Integration gaps between IAM tools and ServiceNow
• Limited visibility into access governance and audit readiness

Tools & Technologies:

• ServiceNow (ITSM, ITBM, or SecOps modules)
• IAM tools (e.g., SailPoint, Okta, Azure AD, or similar)
• Workflow automation tools and integration frameworks
• Agile delivery tools (Jira, Azure DevOps)
• Microsoft 365 ecosystem (SharePoint, Teams, Power Platform)

Key Responsibilities / Day-to-Day Activities

• Lead requirements gathering sessions with stakeholders across business, security, and IT teams
• Analyze current-state IAM processes and identify gaps, inefficiencies, and risks
• Design ServiceNow workflows for access requests, approvals, provisioning, and deprovisioning
• Translate business requirements into functional specifications and user stories
• Configure and support ServiceNow workflow implementation in collaboration with developers
• Coordinate integration activities between ServiceNow and IAM platforms (e.g., identity governance tools)
• Facilitate User Acceptance Testing (UAT), including test planning, execution, and issue resolution
• Document workflows, process maps, and standard operating procedures (SOPs)
• Optimize workflows post-implementation based on performance metrics and user feedback
• Support change management efforts including training, communications, and adoption strategies
• Ensure compliance with security policies, audit requirements, and governance frameworks

Ascension is seeking a high-performing Identity and Access Management (IAM) Expert Analyst/Architect to serve as the core IAM Subject Matter Expert (SME) supporting a client’s enterprise IAM modernization and security enhancement initiative.

This role is critical to the design, implementation, and continuous improvement of IAM architecture, governance frameworks, and lifecycle management processes, ensuring secure, compliant, and efficient access across enterprise systems.

The ideal candidate brings deep expertise in IAM architecture, Microsoft Entra ID (Azure AD), Active Directory, identity lifecycle automation, and policy development, combined with the ability to translate complex security requirements into scalable, user-centric solutions.

This is a mission-critical role supporting enterprise security posture improvements, regulatory compliance, and operational efficiency through identity governance and automation.

Position Summary

The IAM Expert will support the IAM Program Office by leading the design and implementation of enterprise IAM architecture, governance models, and identity lifecycle processes.

This role requires a strategic thinker and hands-on practitioner who can operate effectively in a dynamic environment, working across business, security, and technical teams to implement secure identity solutions.

The ideal candidate is:

• Detail-oriented and analytical, with strong problem-solving skills
• Self-driven and capable of operating with minimal oversight
• Skilled in translating policy into technical implementation
• Experienced in integrating IAM solutions across enterprise platforms
• Adept at balancing security, usability, and compliance

The IAM Expert will be responsible for addressing key client challenges including:

• Fragmented identity and access controls
• Manual provisioning/deprovisioning processes
• Lack of standardized IAM governance and SOPs
• Integration gaps across enterprise systems
• Evolving cybersecurity and compliance requirements

The role will leverage tools and technologies such as:

• Microsoft Entra ID (Azure AD), Active Directory
• Identity Governance & Administration (IGA) tools
• PowerShell and automation frameworks
• ServiceNow (or similar ITSM platforms)
• Security frameworks aligned to NIST, FISMA, and Zero Trust principles

Key Responsibilities / Day-to-Day Activities

• Design enterprise IAM architecture aligned with Zero Trust and security best practices
• Develop IAM governance frameworks, policies, and Standard Operating Procedures (SOPs)
• Lead identity lifecycle management design including provisioning, deprovisioning, and access reviews
• Integrate IAM solutions with Microsoft Entra ID, Active Directory, and enterprise applications
• Implement role-based access control (RBAC) and least privilege access models
• Automate identity workflows using scripting and platform-based automation tools
• Conduct access control assessments and recommend security improvements
• Collaborate with cybersecurity, infrastructure, and application teams to ensure seamless IAM integration
• Support audit readiness and compliance efforts (FISMA, NIST, internal controls)
• Document architecture designs, workflows, and operational procedures
• Analyze IAM performance metrics and recommend continuous improvements
• Provide technical guidance and mentorship to junior IAM staff

The Security Summit Data Analyst supports government-led fraud analytics efforts under the Security Summit Analytics task area, focusing on protecting taxpayer data and strengthening identity theft detection and prevention programs. This role is responsible for analyzing complex datasets, supporting partner reporting, and ensuring high data quality across collaborative initiatives involving federal agencies, states, and private sector partners.

The ideal candidate is a detail-oriented and analytically rigorous professional who can translate data into actionable insights while operating in a fast-paced, mission-critical environment. This individual is expected to work independently with minimal supervision, proactively identify data anomalies and trends, and support continuous improvement of fraud detection capabilities.

This role directly contributes to identifying fraud patterns, improving reporting accuracy, and enhancing coordination across stakeholders. The analyst will leverage tools such as SQL, Python, Power BI, and data quality frameworks to ensure reliable and timely insights that inform operational and strategic decisions.

Key Responsibilities / Day-to-Day Activities

• Analyze large, complex datasets to identify fraud patterns, anomalies, and emerging risks
• Develop and maintain reports and dashboards to support Security Summit partner reporting requirements
• Perform data validation, cleansing, and reconciliation to ensure accuracy and integrity of analytical outputs
• Collaborate with internal and external stakeholders to gather requirements and translate them into analytical products
• Monitor key performance indicators and operational metrics related to fraud detection and prevention
• Support development and refinement of business rules, filters, and analytical measures
• Conduct trend analysis across filing and non-filing periods to identify shifts in fraud behavior
• Prepare briefings, summaries, and visualizations to communicate findings to technical and non-technical audiences
• Assist in integrating and evaluating internal and external data sources to enhance analytical capabilities
• Document methodologies, assumptions, and data lineage to support transparency and reproducibility

The Coordination / Administrative Support Specialist provides essential operational, scheduling, and documentation support to enable efficient execution of fraud analytics programs and cross-functional coordination activities. This role supports government-led initiatives by ensuring seamless communication, structured documentation, and organized tracking of activities across multiple stakeholders, including analysts, program leadership, and external partners.

The ideal candidate is highly organized, detail-oriented, and proactive, with a demonstrated ability to manage competing priorities in a fast-paced, data-driven environment. This individual is expected to anticipate administrative needs, maintain accurate records, and facilitate coordination across functional teams supporting fraud detection, analytics operations, and program oversight.

This role directly supports PWS Tasks 4.9 (JSF Coordination) and 4.11 (Coordination Support) by enabling collaboration, maintaining operational visibility, and ensuring that meetings, deliverables, and communications are executed efficiently.

Key Responsibilities / Day-to-Day Activities

• Coordinate and schedule meetings, briefings, and working sessions across government and contractor teams
• Prepare, format, and distribute meeting agendas, read-aheads, and supporting documentation
• Document meeting minutes, action items, and decisions, ensuring accurate tracking and follow-up
• Maintain centralized tracking tools for action items, deliverables, and stakeholder communications
• Support development, organization, and maintenance of program documentation, reports, and correspondence
• Facilitate communication between analytical teams, program leadership, and external stakeholders
• Track task progress and assist in ensuring timely completion of deliverables
• Organize and manage shared repositories (e.g., SharePoint, Teams) for document control and versioning
• Assist in preparing program status reports, dashboards, and briefing materials
• Support onboarding coordination and administrative needs for team members
• Ensure compliance with documentation standards, records management policies, and internal procedures
• Provide logistical support for program activities, including workshops, reviews, and coordination events

The Program Analyst / Reporting Specialist provides critical reporting, documentation, and coordination support to government-led fraud analytics programs. This role ensures that program performance, operational metrics, and analytical outputs are accurately captured, synthesized, and communicated to support informed decision-making.

The ideal candidate is a highly organized, detail-oriented professional who thrives in a fast-paced, data-driven environment. This individual is expected to translate complex analytical outputs into clear, actionable insights, support cross-team coordination, and maintain high-quality documentation aligned with federal standards.

This role supports the government’s need for transparency, traceability, and operational visibility across fraud analytics activities, including model performance monitoring, inventory tracking, and treatment outcomes. The candidate must be proactive, self-directed, and capable of managing multiple priorities while maintaining accuracy and consistency.

Key tools and processes include reporting dashboards, data visualization platforms, Microsoft Office Suite, collaboration tools (e.g., SharePoint, Teams), and structured reporting frameworks aligned with federal program management practices.

Key Responsibilities / Day-to-Day Activities

• Develop recurring and ad hoc reports on fraud analytics performance, inventory levels, and operational outcomes
• Compile and synthesize data from multiple analytical teams into cohesive executive-level briefings
• Document methodologies, reporting processes, and analytical outputs to ensure auditability and reproducibility
• Coordinate with analysts, data scientists, and program stakeholders to gather inputs for reporting cycles
• Track program metrics, key performance indicators (KPIs), and reporting timelines to ensure timely delivery
• Support the preparation of executive summaries, dashboards, and briefing materials for government leadership
• Maintain reporting repositories, templates, and documentation libraries in collaboration platforms (e.g., SharePoint)
• Analyze trends and variances in program data to identify potential issues or areas for improvement
• Facilitate communication across functional teams to ensure alignment on reporting requirements and outputs
• Ensure compliance with federal reporting standards, data governance policies, and documentation requirements

The Data Migration Specialist supports the transition of legacy fraud detection rules, filters, and analytical assets from legacy environments such as the Dependent Database (DDB) to modernized platforms such as the Enterprise Data Platform (EDP). This role ensures continuity of fraud detection capabilities while improving data integrity, traceability, and performance in the target environment.

The ideal candidate is detail-oriented, highly organized, and capable of executing structured migration activities with precision. They are expected to operate effectively in a fast-paced, evolving environment, proactively identify data inconsistencies, and ensure that migrated rules and datasets maintain functional equivalence and operational effectiveness.

This role supports the IRS mission to modernize fraud analytics infrastructure by translating legacy logic into scalable, maintainable, and production-ready components. The specialist works closely with data engineers, analysts, and program stakeholders to validate migration outcomes and minimize disruption to ongoing fraud detection operations.

Tools and Technologies May Include: SQL, Python, ETL tools, data validation frameworks, version control systems (Git), data profiling tools, and IRS-specific analytics environments.

Key Responsibilities / Day-to-Day Activities

• Analyze legacy rule logic, filters, and datasets within DDB and document transformation requirements
• Translate and map legacy business rules into EDP-compatible formats and structures
• Execute data extraction, transformation, and loading (ETL) processes to support migration activities
• Validate migrated data and rules to ensure accuracy, completeness, and functional equivalence
• Perform data profiling and reconciliation to identify discrepancies and resolve data quality issues
• Collaborate with data engineers and analysts to optimize migrated assets for performance and scalability
• Support testing activities, including unit testing, system integration testing, and user acceptance validation
• Document migration processes, data mappings, and validation results for auditability and knowledge transfer
• Monitor post-migration performance and support issue resolution and tuning efforts
• Ensure compliance with data governance, security, and IRS operational standards

Ascension LLC is seeking a highly analytical and mission-driven Rapid Response Analyst (QRT) to support government-led fraud analytics operations within a dynamic, high-visibility environment. This role is critical to identifying, analyzing, and responding to emerging fraud schemes in near real-time, ensuring timely mitigation of risks to taxpayer systems and financial integrity.

The ideal candidate is a detail-oriented and proactive problem solver who thrives in fast-paced, ambiguous environments. This individual brings strong analytical judgment, the ability to synthesize incomplete data, and the discipline to deliver actionable insights under tight timelines. The analyst will support rapid investigative analytics, evaluate anomalies in filing patterns, and contribute to the development and refinement of fraud detection strategies.

This role requires a professional who can anticipate emerging threats, construct analytical approaches quickly, and collaborate across cross-functional teams to support operational decision-making. The candidate should be comfortable working with large datasets, applying statistical and rule-based analysis, and leveraging tools such as SQL, Python, and data visualization platforms to support rapid response efforts.

Key Responsibilities / Day-to-Day Activities

• Analyze emerging fraud patterns, anomalies, and suspicious behaviors across filing and non-filing periods
• Conduct rapid-turnaround investigative analytics to support urgent fraud detection and mitigation efforts
• Evaluate model outputs, filters, and business rules to identify gaps, false positives, and emerging vulnerabilities
• Develop ad hoc queries, scripts, and analytical approaches to assess new fraud schemes
• Collaborate with data scientists and SMEs to refine detection strategies and improve model performance
• Monitor operational metrics, inventory levels, and fraud indicators to support real-time decision-making
• Synthesize analytical findings into clear, actionable insights for government stakeholders
• Support testing and validation of new rules, models, and treatments in non-production and production environments
• Document analytical methodologies, findings, and recommendations for auditability and knowledge sharing
• Coordinate with cross-functional teams to ensure alignment across fraud programs and response activities

The Data Analyst (Operational Monitoring) supports government-led fraud analytics operations by monitoring model performance, tracking inventory, and producing actionable insights that improve fraud detection and operational outcomes. This role is critical to ensuring continuous visibility into filing trends, fraud schemes, and treatment workflows across both filing and non-filing periods.

The ideal candidate is detail-oriented, analytical, and highly organized, with the ability to manage high-volume datasets and translate data into meaningful insights. This individual must be self-driven, comfortable working in an evolving environment, and capable of identifying anomalies, escalating risks, and supporting rapid analytical response efforts.

This role supports the customer’s need to maintain operational awareness of fraud analytics systems, ensuring models, filters, and business rules perform effectively while enabling timely decision-making. The analyst will leverage tools such as SQL, Python/R, BI platforms, and IRS-provided systems to monitor trends, generate reports, and support fraud mitigation strategies.

Key Responsibilities / Day-to-Day Activities

• Monitor fraud detection models, filters, and business rules to assess performance and identify degradation or anomalies
• Track inventory levels, case volumes, and workflow status across fraud programs
• Analyze filing and non-filing patterns to detect emerging fraud schemes or irregular behaviors
• Generate recurring and ad hoc reports to support operational visibility and leadership decision-making
• Validate data accuracy and reconcile discrepancies across multiple data sources
• Support production analytics by reviewing outputs and ensuring alignment with expected results
• Assist in evaluating model outputs and flagging potential false positives or false negatives
• Collaborate with data scientists and engineers to refine monitoring metrics and reporting logic
• Conduct trend analysis to inform treatment strategies and fraud prevention efforts
• Respond to emerging analytical requests and support rapid response efforts for identified vulnerabilities
• Document processes, methodologies, and findings to support transparency and repeatability
• Coordinate with stakeholders to ensure consistent reporting and shared understanding of metrics

The Analytics Engineer / BI Analyst supports government-led fraud analytics operations by transforming complex data into actionable insights that enhance fraud detection, prevention, and operational decision-making. This role bridges data engineering, analytics, and business intelligence to deliver dashboards, reporting solutions, and analytical outputs that inform program performance and taxpayer protection strategies.

The ideal candidate is a detail-oriented and analytically driven professional who thrives in a fast-paced, ambiguous environment. They demonstrate strong problem-solving skills, the ability to translate business needs into technical solutions, and the discipline to manage multiple priorities while maintaining data accuracy and integrity.

This role supports monitoring fraud trends, evaluating model and rule performance, and delivering reporting solutions that provide visibility into inventory, case processing, and fraud schemes. The candidate will work with structured and unstructured datasets, leveraging tools such as SQL, Python, and BI platforms to support real-time and periodic reporting needs.

Key Responsibilities / Day-to-Day Activities

• Develop and maintain dashboards and reports to support fraud analytics operations and leadership decision-making
• Analyze large datasets to identify trends, anomalies, and emerging fraud patterns
• Support performance monitoring of predictive models, filters, and business rules
• Translate business requirements into data models, visualizations, and reporting solutions
• Collaborate with data scientists and engineers to ensure accurate data pipelines and reporting outputs
• Produce recurring and ad hoc reports on inventory levels, case status, and operational metrics
• Validate data quality and resolve discrepancies across multiple data sources
• Document reporting logic, data sources, and methodologies to ensure transparency and reproducibility
• Support rapid-response analytics for emerging fraud schemes or operational issues
• Present findings and insights to stakeholders in a clear, concise, and actionable manner

The Program Manager / Analytics Lead provides overall contract oversight and coordination for fraud analytics support services. This role is responsible for managing contractor performance across all functional task areas, ensuring alignment with government-led strategy, and delivering high-quality analytical support, reporting, and program coordination. The position serves as the primary interface with the Government, ensuring effective communication, risk management, and execution of program objectives while supporting fraud analytics operations across production and non-production environments.

Role Overview

This role combines program management discipline with an understanding of fraud analytics operations. The individual ensures that analytical activities, reporting, and coordination efforts are executed efficiently while maintaining compliance with contractual requirements. The Government retains authority over strategy and enforcement decisions, and this role focuses on execution, coordination, and performance delivery.

Day-to-Day Responsibilities

• Serve as the primary point of contact for the Government on all contract-related matters
• Oversee execution of all PWS task areas, including program management, transition, staffing, and reporting
• Coordinate contractor resources supporting fraud analytics, modeling, monitoring, and reporting activities
• Track contract performance, deliverables, and key performance indicators
• Manage risks, issues, and dependencies, and provide mitigation strategies
• Facilitate communication across stakeholders, including Government personnel, contractors, and partners
• Ensure timely and accurate reporting on inventory, analytics performance, and operational outcomes
• Support coordination of analytical efforts related to fraud schemes, filing trends, and model performance
• Lead status meetings, program reviews, and stakeholder briefings
• Oversee staffing, onboarding, and resource allocation to meet evolving workload demands
• Ensure compliance with data security, privacy, and operational protocols
• Support transition activities and continuity of operations across contract phases

The Senior Data Scientist provides advanced analytical and modeling expertise to support high-impact fraud detection, identity theft analytics, and predictive modeling efforts. This role is engaged selectively for complex modeling challenges, optimization of existing models, and rapid response to emerging fraud schemes that require deep technical expertise.

The ideal candidate is a highly analytical, detail-oriented problem solver who thrives in ambiguous, fast-moving environments. This individual brings strong expertise in machine learning, statistical modeling, and experimentation, and demonstrates the ability to translate complex data into actionable insights. The candidate must be self-directed, capable of anticipating risks and opportunities, and able to develop scalable analytical solutions with minimal oversight.

This role supports government-led fraud analytics by enhancing predictive models, improving detection accuracy, and optimizing analytical frameworks used to identify identity fraud and emerging schemes. Tools and environments may include Python, R, SQL, cloud-based analytics platforms, and large-scale data processing frameworks.

Key Responsibilities / Day-to-Day Activities

• Develop advanced predictive models and machine learning algorithms to detect identity fraud and anomalous filing patterns
• Optimize existing models, filters, and business rules to improve accuracy and reduce false positives
• Analyze large, complex datasets to identify trends, patterns, and emerging fraud schemes
• Conduct experimentation and model validation to assess performance and reliability
• Collaborate with data engineers and analysts to integrate models into production and non-production environments
• Evaluate internal and external data sources to enhance fraud detection capabilities
• Perform statistical analysis to support treatment optimization and fraud classification
• Respond rapidly to emerging fraud threats by developing and deploying analytical solutions
• Document methodologies, assumptions, and model performance metrics for transparency and reproducibility
• Provide technical guidance and recommendations to support government decision-making

Ascension LLC is seeking a Data Scientist (Primary) to support government-led fraud analytics efforts focused on detecting, preventing, and mitigating identity theft and financial fraud. This role serves as a core contributor to the development, testing, deployment, and monitoring of predictive models, fraud detection rules, and analytical frameworks across both production and non-production environments.

The ideal candidate is a technically strong, detail-oriented problem solver who thrives in fast-paced, ambiguous environments and can translate complex data into actionable insights. This individual will play a central role in identifying fraud patterns, enhancing model performance, and supporting rapid analytical response to emerging fraud schemes. The candidate should be self-driven, highly analytical, and capable of balancing multiple priorities while maintaining accuracy and accountability.

This role supports mission-critical analytics that directly impact taxpayer protection strategies and national financial integrity. The Data Scientist will work closely with cross-functional teams including engineers, analysts, and government stakeholders to continuously improve fraud detection capabilities.

Key Tools & Technologies: Python, R, SQL, SAS, machine learning frameworks, data visualization tools (e.g., Tableau, Power BI), big data platforms (e.g., Hadoop/Spark), cloud environments (AWS/Azure), version control tools.

Day-to-Day Activities

• Develop predictive models, classification algorithms, and anomaly detection techniques to identify fraud patterns
• Engineer and select features from structured and unstructured datasets to improve model accuracy
• Test, validate, and tune models using statistical techniques and performance metrics
• Monitor model performance, drift, and degradation across filing and non-filing periods
• Analyze fraud schemes, filing behaviors, and emerging threats to inform model updates
• Support rapid-response analytics for newly identified fraud vulnerabilities or schemes
• Collaborate with data engineers to operationalize models in production environments
• Evaluate internal and external data sources to enhance fraud detection capabilities
• Generate analytical reports, dashboards, and visualizations for stakeholders
• Document methodologies, assumptions, and model logic for transparency and auditability
• Participate in pilot analytics initiatives and support transition to production
• Contribute to continuous improvement of analytical frameworks, rules, and filters

Ascension LLC is seeking a Fraud Analytics Subject Matter Expert (SME) to support government-led fraud analytics initiatives focused on identifying, analyzing, and mitigating fraud risks across large-scale federal programs. This role serves as a trusted advisor providing analytical insight, model validation support, and subject matter expertise to enhance fraud detection capabilities while ensuring alignment with evolving threats and operational priorities.

The ideal candidate is a highly analytical and detail-oriented professional with deep experience in fraud schemes, predictive modeling support, and analytical evaluation. This individual thrives in a fast-paced, mission-driven environment and demonstrates the ability to interpret complex data, anticipate emerging fraud patterns, and provide actionable recommendations. The SME will not serve as a policy decision-maker but will play a critical role in advising government stakeholders and strengthening analytical approaches.

This role requires a self-driven professional who can operate with minimal oversight, manage multiple priorities, and translate complex fraud trends into meaningful insights. The candidate should be comfortable working with structured and unstructured data, collaborating across teams, and supporting rapid-response analytics in dynamic operational environments.

Key Responsibilities / Day-to-Day Activities

• Analyze fraud schemes, patterns, and anomalies across filing and non-filing periods
• Evaluate existing fraud detection models, filters, and business rules for effectiveness and accuracy
• Support validation and tuning of predictive models in coordination with technical and analytics teams
• Advise on fraud detection strategies and analytical approaches to improve program outcomes
• Monitor fraud trends, model performance, and operational metrics to identify gaps or emerging risks
• Conduct deep-dive analyses to support rapid response to newly identified fraud schemes or vulnerabilities
• Collaborate with data scientists, engineers, and program stakeholders to enhance analytical capabilities
• Review internal and external data sources to inform fraud detection and taxpayer protection strategies
• Develop analytical summaries, reports, and visualizations to communicate findings to stakeholders
• Support treatment optimization efforts, including differentiation between fraud types
• Contribute to cross-program coordination and knowledge sharing efforts

The Senior Data Engineer supports government-led fraud analytics initiatives by designing, building, and maintaining scalable data pipelines, integration frameworks, and analytical data environments. This role is responsible for enabling predictive modeling, fraud detection, and operational analytics through high-quality, reliable, and secure data architecture.

The position plays a critical role in supporting model development, monitoring, and production operations by ensuring seamless data ingestion, transformation, and availability across structured and unstructured data sources. The Senior Data Engineer works closely with data scientists, analysts, and government stakeholders to operationalize fraud detection capabilities and enhance analytical performance across filing and non-filing periods.

Key Responsibilities

• Design, develop, and maintain robust ETL/ELT pipelines supporting fraud analytics and modeling efforts
• Integrate data from internal IRS systems and external data sources to support fraud detection and taxpayer protection strategies
• Support development and deployment of predictive models, filters, and business rules in production and non-production environments
• Ensure data quality, integrity, and consistency across all analytical platforms
• Optimize data pipelines for performance, scalability, and reliability
• Support data migration and consolidation efforts across legacy and modernized environments
• Enable real-time and batch data processing for fraud monitoring and response activities
• Collaborate with data scientists and analysts to structure datasets for modeling and reporting
• Implement data governance, metadata management, and documentation standards
• Provide technical support for production systems and troubleshoot data-related issues
• Support reporting and dashboard development by ensuring availability of clean, structured datasets

Supported PWS Tasks

• 4.5 Model Development
• 4.6 Monitoring
• 4.7 Data Migration
• 4.13 Production Support
• 4.15 Reporting Support

Day-to-Day Activities

• Develop and maintain ETL pipelines using tools such as Python, SQL, or cloud-native data services
• Ingest and transform large datasets from multiple structured and unstructured sources
• Monitor pipeline performance and resolve data processing issues
• Collaborate with analytics teams to prepare datasets for fraud models and rule engines
• Perform data validation, cleansing, and reconciliation activities
• Support deployment and maintenance of data workflows in production environments
• Document data flows, schemas, and transformation logic
• Participate in daily standups, sprint planning, and technical reviews
• Respond to ad hoc data requests supporting emerging fraud schemes or analytical needs
• Assist in implementing enhancements to improve data processing efficiency and accuracy