Alation Data Governance Consultant

TATA Consulting Services•Minneapolis, MN

36d•$120,000 - $135,000

About The Position

We are seeking a strategic and technically adept Product Owner to lead initiatives involving the Alation Data Catalog. This role will be responsible for defining and executing the product vision, roadmap, and delivery of data catalog capabilities that enhance data discovery, governance, and literacy across the organization.

Requirements

Hands-on experience with Alation or similar tools (e.g., Collibra, OvalEdge etc).
Strong understanding of metadata management, data lineage, and data quality principles.
Familiarity with cloud platforms (AWS, GCP, Azure) and modern data stacks.
Proficiency in Agile methodologies and tools (e.g., Jira, Confluence).
6+ years of experience in data management, data governance, or product ownership.
Excellent communication and stakeholder management skills.

Nice To Haves

Experience with SQL and data modeling.
Knowledge of data privacy regulations (e.g., GDPR, CCPA).
Added advantages with background in financial services, Asset Management, or regulated industries is a plus.

Responsibilities

Define and maintain the product roadmap for Alation-based data catalog initiatives.
Align catalog capabilities with enterprise data strategy and business goals.
Collaborate with data stewards, analysts, engineers, and business users to gather requirements and feedback.
Act as the primary liaison between business and technical teams.
Create and manage a prioritized product backlog.
Write clear user stories and acceptance criteria for catalog features and enhancements.
Drive adoption of metadata standards, data lineage, and stewardship practices using Alation.
Ensure catalog content is accurate, up-to-date, and aligned with governance policies.
Promote data literacy and catalog usage through training, documentation, and internal advocacy.
Define KPIs to measure catalog adoption and data quality improvements.
Work closely with data engineers and architects to integrate Alation with data sources (e.g., Snowflake, AWS, data pipelining using AWS Glue etc.).
Support automation of metadata ingestion and policy enforcement.
Identify cost effective opportunities for improvement and recommend solutions to meet customers and user requirements, where appropriate.
Engage with the Automation SME Lead, look for opportunities for team development in a manner consistent with company policy and procedures
Develop internal team processes to ensure the integrity and quality of the service provision is maintained.
Where possible, look for and propose opportunities for improvement
Escalate and manage situations arising from customer issues to Manager.