Sr. Advisory Consultant, Data Governance/MDM
United States · Remote · Full-time
- Posted 3w ago
- From phData’s careers page
- Location
- United States
- Work mode
- Remote
- Type
- Full-time
- Level
- Senior
- Experience
- 5+ years
- Department
- Data and Analytics
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About the role
Why phData?
- Snowflake Implementation Partner of the Year — 7 consecutive years, and 2026 Snowflake AI Partner of the Year
- AWS Premier Tier Services Partner — the highest tier of recognition in the AWS Partner Network
- 2025 Fivetran Partner of the Year (4th consecutive year)
- 2025 dbt Labs Partner of the Year (3x winner) with Visionary partner status
- 2026 KNIME Customer Excellence Partner of the Year
- Preferred Partner in the Anthropic Claude Partner Network
- #1 Partner in Snowflake Advanced Certifications
- 600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, and more)
- Recognized as an award-winning workplace in the US, India and LATAM
Core Responsibilities
- Support the design of tailored data governance programs, with recommendations on processes, team structure, decision rights and boundaries.
- Design policies and controls for effective data governance execution.
- Bring a modern perspective on the design and rollout of data governance.
- Communicate governance concepts in clear business language; prepare presentations, training materials, and adoption guides.
- Facilitate data governance working groups to drive alignment between business and technology stakeholders.
- Execute metadata management activities such as cataloging, lineage capture, and stewardship workflows.
- Partner with business teams to draft and maintain business rules, definitions, and data quality controls.
- Apply data quality processes such as profiling, monitoring, and issue management, ensuring rules are practical and adopted.
- Support the installation, configuration, rollout and adoption of governance/metadata tools (e.g., Collibra, Alation, Atlan, Purview).
- Coach client staff on data stewardship practices—showing them how to govern their data effectively and sustainably.
- Provide input on access controls, privacy, and compliance with regulations (GDPR, CCPA, etc)
- Collaborate with data engineers, analysts, and business owners to embed governance into daily workflows, platform pipelines, modeling practices, and observability.
Metadata Tools & Platform Enablement
- Install and configure metadata/catalog tools in client environments.
- Build and curate catalogs, including ingestion of technical metadata, business glossaries, and lineage.
- Define user personas and design role-appropriate experiences (data stewards, data owners, analysts, engineers).
- Tailor tool UX (workflows, dashboards, search optimization) to improve usability and adoption.
Required Qualifications
- 5+ years of experience in data governance, metadata management, and MDM roles.
- Hands-on experience with MDM tools (Semarchy, Profisee, Informatica, or equivalent).
- Exposure to data quality tools and processes (Talend, Ataccama, or equivalent).
- Strong communication skills: able to facilitate workshops, write clear business documentation, and present to mixed audiences.
- Demonstrated ability to define and obtain alignment for definition, business rules and data quality controls.
- Familiarity with governance operating models and stewardship practices.
- Knowledge of privacy regulations (GDPR, CCPA) and how governance practices support compliance
- Bachelor’s degree in Information Systems, or related field (or equivalent work experience)
- Willingness to travel up to 50% per month (10 of 20 business days) when required by our clients
Preferred Skills
- Experience leading or supporting data governance working groups or stewardship councils.
- Knowledge of data access provisioning, integration patterns, or lineage capture.
- Experience building adoption materials, training guides, or playbooks for governance programs.
- Prior client-facing consulting experience.
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About phData
AI and data services for enterprisesphData provides data and AI consulting and engineering services to help enterprises build data platforms and intelligent systems.
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