Sr. Advisory Consultant, Data Governance/MDM

Join phData , a remote-first data and AI consultancy company with employees across the United States, Latin America, and India. We partner with industry leaders, including Snowflake, AWS, Anthropic, Glean, and dbt, to solve the complex data and AI challenges that slow large enterprises. We're growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results. 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 As a Sr. Advisory Consultant, focused on bringing Master Data Management recommendations and solutions to life, you'll help clients design and operationalize MDM programs that treat their most critical data as a strategic asset. This is a hands-on consulting role focused on building end-to-end MDM processes, defining match, merge, and survivorship rules, and enabling the tools and workflows clients need to sustain high-quality, trusted master data. Core Responsibilities MDM Strategy and Process Design • Gather and document business requirements for MDM design, including data domains, ownership, governance boundaries, and decision rights. • Map stakeholders and decision rights across the client organization, and navigate the politics and competing priorities that determine whether governance decisions actually hold. • Own the executive sponsor relationship — establishing steering committee cadence, keeping sponsors engaged, and escalating directly if sponsorship disengages. • Build the business case for MDM scope, tying recommendations to the revenue, cost, or risk outcomes the executive sponsor cares about. • Support the design of tailored MDM programs with recommendations on end-to-end workflows, ingress and egress data flows, team structure, and scope. • Collaborate with data engineers, analysts, and business owners to embed MDM processes into daily workflows, platform pipelines, and modeling practices. • Apply data quality processes such as profiling, monitoring, and issue management to ensure rules are practical and adopted. • Own the design of data stewardship roles — validating that stewards have real allocated capacity, a clear mandate, and performance incentives, not just a title — alongside access controls, privacy, and compliance with regulations (GDPR, CCPA, etc.). Match, Merge, and Survivorship • Partner with business teams to draft and maintain business rules governing match, merge, and survivorship logic for master data entities. • Define and document matching criteria and thresholds tailored to the client's data landscape and business requirements. • Establish survivorship rules that determine which record attributes are promoted to the golden record based on source system trust and business priority. • Support testing and validation of match, merge, and survivorship configurations in client environments. • Bring a modern perspective on MDM operating model design and rollout. Tool Enablement & Adoption • Evaluate and recommend MDM tooling options based on client requirements, data volumes, and existing technology landscape. • Translate MDM design decisions into clear specifications for technical resources to configure