Data Governance / Quality Analyst

KARTHIK CONSULTING, LLC; United States; On-site; USD 145,000 - 165,000; Full time

Job summary

Karthik Consulting seeks a Data Governance / Quality Analyst to support the A2FF ISR Readiness program in the National Capital Region. You will build and maintain data dictionaries, lineage, business rules, quality checks, and governance artifacts for government‑approved outputs.

Required: active TS/SCI clearance, 7+ years in data governance or analytics, and strong collaboration with engineers, data scientists, and government stakeholders.

Qualifications

• Active TS/SCI clearance.
• 7+ years in data governance, data quality, data management, analytics, or BI.
• Experience developing data dictionaries, lineage, business rules, metadata, and traceability artifacts.
• Ability to coordinate across engineering, analytics, visualization, readiness SMEs, and Government review teams.
• Strong written and verbal communication skills.

Responsibilities

• Develop, update, and maintain data dictionaries, lineage documentation, business rules, metadata records, and governance artifacts for readiness data sources, integrations, analytic workflows, dashboards, and reporting products.
• Document data element definitions, source systems, ownership context, transformation logic references, valid values, quality expectations, usage notes, and dependencies affecting readiness analytics and dashboard outputs.
• Support quarterly data governance artifact delivery in Government‑approved Word/PDF formats and ensure artifacts are complete, consistent, version‑aware, and aligned to task order timelines.
• Coordinate with data engineers, data scientists, BI developers, ISR readiness SMEs, and task leadership to ensure governance artifacts reflect both technical implementation and mission use.

Skills

Data governance

Data quality

Data lineage

Documentation

Education

Bachelor's degree in Data Management or related field

Job description

New Posted: July 17, 2026

I. Position Summary

The Data Governance / Quality Analyst develops and maintains data dictionaries, lineage documentation, business rules, quality checks, data quality findings, remediation recommendations, and artifact traceability reviews for A2FF ISR readiness data products. The role helps ensure readiness data, analytic workflows, dashboard products, and reporting artifacts are complete, traceable, reviewable, and aligned with Government‑approved formats. This position is contingent based on award, with an anticipated salary range of $145,000-$165,000 based on candidate qualifications and final contract requirements.

Work Environment

• Work Location: National Capital Region (NCR)
• Security Clearance: TS/SCI

Compensation

Karthik Consulting is committed to providing competitive compensation based on the responsibilities of the role, required qualifications, security clearance level, relevant experience, certifications, customer requirements, geographic location, and overall business needs. The salary range listed for this position represents a good‑faith estimate of the current compensation range for this role.

At Karthik Consulting, it is not typical for an individual to be hired at or near the top of the salary range. Final compensation decisions are based on the facts and circumstances of each candidate’s experience, qualifications, certifications, clearance level, contract requirements, and overall alignment with the role.

Employees may be eligible for company benefits and additional compensation programs, subject to company policy, contract requirements, and individual eligibility.

II. Program Context

Program Description

The A2FF ISR Readiness Data Engineering and Dashboard Modernization Support task order supports HAF/A2 - A2FF Readiness Branch in developing, sustaining, and modernizing ISR readiness analytics and dashboard capabilities. The program supports updated ETL/ELT pipelines, predictive analytics and LLM documentation, dashboard releases, stakeholder coordination materials, data governance artifacts, process improvement recommendations, and reporting products.

Program Scope

The program scope includes data engineering, readiness‑system integration, data mappings, analytic workflows, dashboard modernization, predictive analytics, stakeholder engagement, MET/METL support, data dictionaries, lineage documentation, business rules, quality checks, data quality assessment reports, and artifact traceability across AF/DoD/IC readiness stakeholders.

III. Key Responsibilities

DATA GOVERNANCE ARTIFACT DEVELOPMENT AND MAINTENANCE

• Develop, update, and maintain data dictionaries, lineage documentation, business rules, metadata records, and governance artifacts for readiness data sources, integrations, analytic workflows, dashboards, and reporting products.
• Document data element definitions, source systems, ownership context, transformation logic references, valid values, quality expectations, usage notes, and dependencies affecting readiness analytics and dashboard outputs.
• Support quarterly data governance artifact delivery in Government‑approved Word/PDF formats and ensure artifacts are complete, consistent, version‑aware, and aligned to task order timelines.
• Coordinate with data engineers, data scientists, BI developers, ISR readiness SMEs, and task leadership to ensure governance artifacts reflect both technical implementation and mission use.

LINEAGE, BUSINESS RULES, AND ARTIFACT TRACEABILITY

• Maintain source‑to‑target lineage for DRRS, DEERS, Envision, ASERT, and other Government‑designated readiness data sources as applicable to the task order.
• Review data mappings, transformation logic, analytic workflow documentation, dashboard dependencies, release notes, and reporting outputs to confirm alignment with approved business rules and documented lineage.
• Identify gaps, inconsistencies, undocumented assumptions, or traceability issues that may affect readiness reporting confidence, auditability, dashboard interpretation, or downstream analytic use.
• Confirm that data dictionaries, lineage records, quality checks, business rules, release notes, analytic products, and stakeholder‑facing materials remain synchronized.

DATA QUALITY ASSESSMENT AND REMEDIATION SUPPORT

• Design, document, and support quality checks addressing completeness, accuracy, consistency, timeliness, validity, reasonableness, lineage, and fitness for readiness reporting use.
• Prepare inputs for bi‑monthly Data Quality Assessment Reports, including identified issues, affected source or product, severity, frequency, impact, root‑cause indicators, and recommended remediation actions.
• Track recurring quality findings, unresolved data issues, remediation dependencies, Government disposition, and follow‑up actions across reporting cycles.
• Support automated checks, test results, and quality‑control evidence demonstrating whether methods, algorithms, and data validation rules are accurate and reliable.

READINESS REPORTING, ANALYTICS, AND DASHBOARD SUPPORT

• Support readiness assessments, predictive analytics, trend reporting, degradation assessments, dashboard products, and stakeholder materials by identifying data limitations, quality constraints, lineage considerations, and business‑rule impacts.
• Coordinate with BI developers to ensure dashboard users understand relevant data definitions, quality limitations, metric calculations, and interpretation considerations.
• Coordinate with data scientists and AI/ML analysts to document data‑confidence considerations, assumptions, and limitations that affect forecasting, simulation results, model outputs, and analytic interpretation.
• Provide data governance and quality inputs to improvement recommendations, briefing products, decision‑support documentation, Monthly Status Report inputs, and Government review packages when required.

ROLE‑SPECIFIC DELIVERABLE OWNERSHIP

• Own role‑level inputs for data dictionaries, lineage documentation, business rules, quality checks, data quality findings, remediation recommendations, and artifact traceability reviews.
• Prepare governance and quality artifacts for Government review, ensuring products are accurate, traceable, version‑aware, and aligned with applicable PWS requirements, QASP acceptance criteria, and approved formats.
• Escalate data quality issues, lineage gaps, business‑rule conflicts, documentation deficiencies, or unresolved dependencies that may affect deliverable quality, schedule, analytic confidence, or Government review.
• Maintain awareness of non‑personal services boundaries and support Government decision‑making without making inherently Governmental determinations regarding authoritative data sources, readiness policy, or final reporting decisions.

IV. Qualifications

Education

Bachelor’s degree preferred in Data Management, Information Systems, Computer Science, Statistics, Business Analytics, Cybersecurity, Information Technology, or a STEM‑related field. Equivalent DoD, IC, data governance, data quality, data analytics, business intelligence, or enterprise data management experience may substitute.

Professional Certifications

Preferred: CDMP, DCAM, DAMA, Lean Six Sigma, PMI, SAFe, Scrum, data governance, data management, analytics, quality, project management, metadata management, BI, cloud, or comparable certification. Security+ CE or equivalent DoD 8140/8570 foundational certification preferred when required for access or privileged environments.

Minimum Qualifications

• Active TS/SCI clearance.
• 7+ years of data governance, data quality, data management, analytics, business intelligence, or technical documentation support in a federal, DoD, IC, or mission‑data environment.
• Experience developing data dictionaries, lineage documentation, business rules, metadata records, quality checks, issue logs, and traceability artifacts.
• Experience reviewing data mappings, transformation logic, analytic workflows, dashboards, reports, or data products for completeness, consistency, traceability, and quality.
• Knowledge of data quality dimensions including completeness, accuracy, consistency, timeliness, validity, reasonableness, lineage, and fitness for readiness reporting use.
• Experience preparing data quality findings, issue summaries, remediation recommendations, status updates, and Government‑ready documentation.
• Ability to coordinate across engineering, analytics, visualization, readiness SME, stakeholder engagement, and Government review teams to resolve governance and data‑quality issues.
• Strong written and verbal communication skills with the ability to explain data definitions, quality findings, lineage concerns, and remediation actions to technical and non‑technical audiences.

Preferred Qualifications

• Master’s degree in Data Management, Analytics, Information Systems, Statistics, Cybersecurity, Information Technology, Business Analytics, or a STEM‑related field.
• Familiarity with HAF/A2, AF IC, MAJCOM, ISR readiness, DRRS, DEERS, Envision, ASERT, GFMB, MET/METL, or senior leader readiness reporting environments.
• Experience supporting metadata management, lineage, business rules, data catalog, governance, or data‑quality efforts in classified or multi‑domain environments.
• Experience with DAMA‑DMBOK, ISO 8000, ISO/IEC 25012, DataOps, Lean Six Sigma, or related data‑quality practices.
• Experience supporting dashboards, BI products, predictive analytics, AI/ML model documentation, data‑quality remediation, or readiness reporting products in Government‑approved formats.
• Ability to operate in stakeholder‑heavy, deadline‑driven environments where data confidence, artifact traceability, quality findings, and remediation recommendations are critical to mission execution.

V. Core Competencies

• ACCOUNTABILITY & OWNERSHIP Owns data governance, quality, lineage, business‑rule, and traceability outcomes for assigned readiness data products and artifacts.
• COMMUNICATION & COLLABORATION Communicates clearly with Government, KC, engineering, analytics, visualization, readiness, and stakeholder teams to resolve data‑quality issues.
• ANALYTICAL THINKING Evaluates data definitions, lineage gaps, quality findings, remediation options, and business‑rule impacts to improve data confidence.
• QUALITY & COMPLIANCE Maintains accuracy, version awareness, artifact traceability, approved‑format discipline, and careful handling of sensitive readiness information.
• ADAPTABILITY & INITIATIVE Responds effectively to changing data sources, reporting needs, quality findings, dashboard updates, and stakeholder feedback.
• CUSTOMER & MISSION FOCUS Connects governance, quality, lineage, and traceability to ISR readiness visibility, analytic confidence, and A2FF decision‑support value.