Program Manager, Data Governance and Stewardship

Analog Devices•Wilmington, MA

About The Position

As Program Manager, Data Governance and Stewardship, you will design and deliver the governance and stewardship framework for enterprise data and analytics at Analog Devices. This critical role will ensure compliance with corporate data asset protection policies, regulatory compliance with global data privacy and AI laws, and adherence to the data quality standards defined by the business.

Requirements

5+ years in data governance/engineering, specifically having completed at least 3 full-scale implementations.
Technical degree (CS, Electrical/Computer Engineering, or similar).
Deep proficiency in SQL and Lakehouse/Database tech (Snowflake, Databricks, SQL Server).
Familiarity with industry tools like Collibra, Alation, or Informatica.
Experience architecting and owning Data Products from rollout through their entire lifecycle.
Experience leading and mentoring junior technical staff using modern dev practices.
A "peer influencer" who can establish credibility and lead cross-functional teams.
Strong analytical and problem-solving skills with a high commitment to data accuracy.

Nice To Haves

Semiconductor or other manufacturing industry experience (preferred, but not required)

Responsibilities

Architect the end-to-end data governance and stewardship framework to scale with the business.
Partner with Legal/HR to ensure global compliance (GDPR, CCPA, EU AI Act) and automate Data Subject Access Requests (DSAR).
Establish the official standards, procedures, and data dictionaries that define how the company handles its information.
Collaborate with business owners to identify critical data elements and define their authoritative sources.
Establish your role as data steward as you build relationships with the business.
Facilitate the Data Governance Council, drive consensus on data decisions, and provide training to business users.
Champion a data-driven culture by translating complex data concepts into compliance reports for senior leadership.
Develop deep expertise in the organization’s strategic data sources and how data flows through the system.
Implement lineage solution for the company and develop a process to ensure alignment with colleagues in domain data and analytics teams.
Scope business challenges and provide direction to analysts, data scientists, and product managers to improve data products.
Implement governance via Unity Catalog (Databricks) and Horizon (Snowflake).
Design monitoring frameworks, data profiling, and remediation processes to ensure accuracy and completeness.
Partner with Data Engineering and Architects to build resilient data feeds and ensure all architecture aligns with governance standards.