Principal, Data Governance Platforms

Alignment Health is breaking the mold in conventional health care, committed to serving seniors and those who need it most: the chronically ill and frail. It takes an entire team of passionate and caring people, united in our mission to put the senior first.

We have built a team of talented and experienced people who are passionate about transforming the lives of the seniors we serve. In this fast-growing company, you will find ample room for growth and innovation alongside the Alignment Health community. Working at Alignment Health provides an opportunity to do work that really matters, not only changing lives but saving them. Together.
The Principal, Data Governance Platforms is the organization's technical authority for enabling enterprise data governance through purpose-built technology platforms and data management capabilities, spanning metadata, master data, data quality, and lineage. Working at the intersection of data engineering, enterprise architecture, and governance strategy, this role ensures that governance is not just a policy — it is a platform capability that operates reliably at scale. Collaborating closely with data engineering teams, enterprise architects, and governance operations counterparts, the Principal designs and implements the technical infrastructure that makes governance measurable, auditable, and sustainably automated.
JOB DUTIES / RESPONSIBILITIES

• Governance Platform Strategy & Architecture

Define the technology architecture for enterprise data governance capabilities — including metadata management, MDM, data quality, and lineage — ensuring the platform strategy supports both current operational requirements and future AI and analytics ambitions. Align platform decisions with enterprise data architecture principles and cloud ecosystem standards.

• Platform Implementation & Lifecycle Operations

Lead and execute the implementation of governance platforms, managing configuration, integration, testing, and go-live activities in partnership with engineering and IT teams. Ensure platforms

operate

at production-grade standards for performance, availability, and data integrity across all governance use cases.

• Data Lifecycle Capability Enablement

Enable governance-aligned data integration, transformation, enrichment, and standardization capabilities by embedding governance controls directly into data pipelines and processing workflows. Partner with data engineering to ensure governance requirements are built into platform architecture from the ground up, not layered on afterward.

• Data Integration & Workflow Automation

Design and implement automated governance workflows — including data quality rule execution, metadata harvesting, lineage capture, and MDM matching — within data pipelines and platform ecosystems. Reduce manual governance overhead by embedding automation at the point of data creation and movement.

• Lineage, Observability & Traceability

Enable comprehensive visibility into data flows, system dependencies, and transformation logic to support impact analysis, audit readiness, and root cause investigation. Maintain lineage capabilities that span the full data ecosystem from source systems through to downstream consumption in analytics, reporting, and AI model inputs.

• Technical Governance Standards & Documentation

Establish and maintain technical standards for how governance platforms are configured, integrated, and

operated , ensuring consistency across platform implementations and enabling knowledge transfer to engineering teams. Produce platform architecture documentation that serves both technical teams and governance stakeholders.

• Collaboration with Engineering & Enterprise Architecture

Partner closely with data engineering, cloud infrastructure, and enterprise architecture teams to ensure governance platforms are integrated into the broader data and technology ecosystem. Translate governance business requirements into scalable technical solutions that align with organizational standards and security controls.

SUPERVISORY RESPONSIBILITIES

This is an individual contributor role with no direct supervisory responsibilities. The

Principal

leads through deep technical

expertise , architectural ownership, and cross-functional engineering collaboration.

JOB REQUIREMENTS

Experience

Required

10+ years of experience in data engineering, data architecture, or data governance platform implementation

Demonstrated experience implementing

• and operating
• enterprise-scale data governance or data management platforms
• Experience integrating governance tooling into cloud-based data platforms and pipelines
• Healthcare industry experience preferred; Medicare Advantage or payer experience is a significant differentiator
• Experience implementing MDM, data catalog, or data quality platforms in a regulated healthcare environment

Preferred

Familiarity with HIPAA technical safeguard requirements as they apply to data platform architecture

Education

Required

Bachelor's degree in Information Management

, Information Systems, Computer Science,

Data Engineering,

Business, Health Informatics, or a related field

Preferred

Master's degree in a relevant technical discipline

Training

Required

Hands-on platform experience with at least one enterprise data catalog (e.g., Purview, Alation), one MDM platform (e.g., Reltio, Informatica,

Profisee

), and one data quality/observability tool (e.g.,

Acceldata

, Informatica DQ)

HIPAA technical compliance knowledge as it applies to data platform architecture

Preferred

Cloud platform certification (Azure, AWS, or GCP); Microsoft Purview or Databricks certification

SKILLS & COMPETENCIES

Technical / Role-Specific Skills

Metadata Management & Data Catalog Platforms

Hands-on

expertise

with Microsoft Purview or Alation for metadata ingestion, cataloging, lineage capture, and governance policy enforcement

Master Data Management Systems

Deep implementation experience with MDM platforms such as Reltio, Informatica MDM, or

Profisee

; understanding of matching, merging, and golden record architecture

Data Quality & Observability Tools

Proficiency

with data quality platforms including

Acceldata

or Informatica Data Quality; ability to configure rules, scoring frameworks, and alerting at scale

Data Pipeline & Integration Design

Solid grounding in data engineering practices including ETL/ELT pipelines, API integration, and cloud-native data platforms (Azure Data Factory, Databricks, or equivalent)

Cloud Data Platforms & Architecture

Experience architecting governance solutions within enterprise cloud ecosystems; working knowledge of cloud security controls, access management, and data classification

SQL & Data Querying

Proficiency

in SQL for data validation, quality rule development, and governance investigation workflows

Technical Documentation & Architecture Communication

Ability to produce clear platform architecture documents and translate technical design decisions for non-technical governance stakeholders

Licensure

Required

None

Preferred

Microsoft Certified: Azure Data Engineer Associate; Certified Data Management Professional (CDMP) ,

Reltio, Informatica,

Profisee

,

or

Acceldata

certifications

Essential Physical Functions: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.  Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
1. While performing the duties of this job, the employee is regularly required to talk or hear. The employee regularly is required to stand, walk, sit, use hand to finger, handle or feel objects, tools, or controls; and reach with hands and arms.
2. The employee frequently lifts and/or moves up to 10 pounds. Specific vision abilities required by this job include close vision and the ability to adjust focus.
Pay Range: $149,882.00 - $224,823.00
Pay range may be based on a number of factors including market location, education, responsibilities, experience, etc.

Alignment Health is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, age, protected veteran status, gender identity, or sexual orientation. *DISCLAIMER: Please beware of recruitment phishing scams affecting Alignment Health and other employers where individuals receive fraudulent employment-related offers in exchange for money or other sensitive personal information. Please be advised that Alignment Health and its subsidiaries will never ask you for a credit card, send you a check, or ask you for any type of payment as part of consideration for employment with our company. If you feel that you have been the victim of a scam such as this, please report the incident to the Federal Trade Commission at https://reportfraud.ftc.gov/#/ . If you would like to verify the legitimacy of an email sent by or on behalf of Alignment Health’s talent acquisition team, please email careers@ahcusa.com .