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General information

Job Posting Title
Senior Director, Data Management & Technology
Date
Monday, March 30, 2026
City
Remote
Country
United States
Working time
Full-time

Description & Requirements

As the senior leader owning of Tier 3 (Enterprise Data Management) and Tier 4 (Data Foundational Technologies), you will translate corporate data strategy into technical reality. You will own the Maximus Global Ontology and Data Model, drive data quality, integration, metadata, lifecycle management, and build the Maximus Global Data Environment, ensuring frictionless access to AI-ready data at speed and at scale.  

This is the execution, architecture, and infrastructure half of our Enterprise Data team—ensuring governed, high-quality, integrated data flows into production systems and AI pipelines while maintaining compliance and performance.

This is a remote position. Eligibility to acquire a US government Top Secret/SCI clearance preferred



Essential Duties and Responsibilities:
- Own Tier 3 (Data Management) and Tier 4 (Solution Foundation): Lead ontology development and extension (including AIModel and Identity entities), metadata standards, data‑quality management (target >99%), integration pipelines, and lifecycle policies.
- Lead the design and implementation of the enterprise data architecture, including the Azure Data Lakehouse, Purview governance layer, Synapse analytics environment, Data Factory pipelines, and machine‑learning workspaces.
- Drive ontology enforcement through JSON Schema + Pydantic validation, TDFPolicy axioms, and DataGuard prototypes (RBAC/ABAC, OpenTDF). 
- Build and scale AI-readiness capabilities, including RAG-ready datasets, vector stores, ethical model governance, bias checks, and AIModel tracking. 
- Lead technical pilots and segment rollouts (e.g., CDL as first GLDE node, Federal Services ontology pilot). 
- Ensure zero-trust compliance, data residency, and audit-ready lineage standers across all assets. 
- Partner closely with the parallel Sr Director - Data Strategy and Governance to make policies technically enforceable.
- Deliver measurable outcomes such as 99% data quality, 100% ontology conformance, scalable KBQ automation, and foundation for 10–15% revenue uplift / 15–25% cost reduction. 

Job-Specific Essential Duties and Responsibilities:
- Own Tier 3 (Data Management) and Tier 4 (Solution Foundation): Lead ontology development/extension (including AIModel and Identity entities), metadata standards, data quality (>99% target), integration pipelines, and lifecycle policies.
- Design and implement the enterprise data architecture: Azure Data Lakehouse, Purview governance layer, Synapse analytics, Data Factory pipelines, and ML workspaces.
- Drive ontology enforcement via JSON Schema + Pydantic validation, TDFPolicy axioms, and DataGuard prototypes (RBAC/ABAC, OpenTDF).
- Build and scale AI-readiness capabilities: RAG-ready datasets, vector stores, ethical model governance, bias checks, and AIModel tracking.
- Lead technical pilots and segment rollouts (e.g., CDL as first GLDE node, Federal Services ontology pilot).
- Ensure zero-trust compliance, data residency, and audit-ready lineage across all assets.
- Partner closely with the parallel Senior Director (Data Strategy & Governance) to make policies technically enforceable.
- Deliver measurable outcomes: 99% data quality, 100% ontology conformance, scalable KBQ automation, and foundation for 10–15% revenue uplift / 15–25% cost reduction.

Minimum Requirements

- Bachelor's degree in relevant field of study.
- 12+ years of relevant professional experience required. 
- Familiarity with DoD, IC, and Federal missions, functions, tasks, and systems environments required.
Job-Specific Minimum Requirements:
- 10+ years in data architecture, ontology/semantics, data management, or enterprise data platform leadership in complex, regulated environments (US federal, state, or local service, government contracting, healthcare, or financial services strongly preferred).
- Master’s degree Information Science, Data Science, Computer Science, Information Systems, Systems Engineering, or equivalent technical field of study.
- Hands-on experience with major modern data stack technologies (e.g., Microsoft Azure stack, AWS stack, Google stack, Snowflake, Databricks, etc.)
- Deep expertise in semantic modeling, OWL/JSON Schema/Pydantic, data quality frameworks, and zero-trust data security (OpenTDF, ABAC).
- Proven success delivering enterprise lakehouse/analytics platforms at scale ($B+ revenue organizations).
- Strong technical leadership with ability to translate strategy into production systems
- Familiarity with DoD, IC, and Federal missions, functions, tasks, and systems environments required.

Preferred Skills and Qualifications:
- Active or Eligible U.S. Government Top-Secret and above security clearance preferred

#techjobs #veteranspage #LI-Remote 

EEO Statement
Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics.
Pay Transparency
Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances.
Accommodations
Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process—including accessing job postings, completing assessments, or participating in interviews,—please contact People Operations at applicantaccom@maximus.com.
Minimum Salary
$
194,130.00
Maximum Salary
$
291,240.00