{"id":2422964,"url":"https://alion.io/job/phdata-sr-advisory-consultant-data-governancemdm","title":"Sr. Advisory Consultant, Data Governance/MDM","company":{"id":11321,"name":"phData","domain":"phdata.io","url":"https://alion.io/company/phdata","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":75,"open_postings":6,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-14T06:34:16Z"}},"role":"Enterprise Apps","role_family":"Enterprise Apps","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":93000,"max_usd":179000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":213},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anthropic","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Claude","optional":false},{"name":"dbt","optional":false},{"name":"Fivetran","optional":false},{"name":"GDPR","optional":false},{"name":"Informatica","optional":false},{"name":"Master Data Management","optional":false},{"name":"Snowflake","optional":false},{"name":"Talend","optional":false}],"status":"live","first_seen_at":"2026-09-16T19:43:42Z","employer_posted_date":"2026-10-01","last_verified_at":"2026-10-14T06:17:23Z","board_verified":true,"closed_at":null,"days_open":27,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":27},"description":"JoinphData, 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.\nWe're growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results.\nWhy phData?\nSnowflake Implementation Partner of the Year - 7 consecutive years, and 2026 Snowflake AI Partner of the Year\nAWS Premier Tier Services Partner - the highest tier of recognition in the AWS Partner Network\n 2025 Fivetran Partner of the Year (4th consecutive year)\n 2025 dbt Labs Partner of the Year (3x winner) with Visionary partner status\n2026 KNIME Customer Excellence Partner of the Year\n Preferred Partner in the Anthropic Claude Partner Network\n#1 Partner in Snowflake Advanced Certifications\n600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, and more)\nRecognized as an award-winning workplace in the US, India and LATAM\nAs 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.\nCore Responsibilities\nMDM Strategy and Process Design\nGather and document business requirements for MDM design, including data domains, ownership, governance boundaries, and decision rights.\nMap stakeholders and decision rights across the client organization, and navigate the politics and competing priorities that determine whether governance decisions actually hold.\nOwn the executive sponsor relationship - establishing steering committee cadence, keeping sponsors engaged, and escalating directly if sponsorship disengages.\nBuild the business case for MDM scope, tying recommendations to the revenue, cost, or risk outcomes the executive sponsor cares about.\nSupport the design of tailored MDM programs with recommendations on end-to-end workflows, ingress and egress data flows, team structure, and scope.\nCollaborate with data engineers, analysts, and business owners to embed MDM processes into daily workflows, platform pipelines, and modeling practices.\nApply data quality processes such as profiling, monitoring, and issue management to ensure rules are practical and adopted.\nOwn 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.).\nMatch, Merge, and Survivorship\nPartner with business teams to draft and maintain business rules governing match, merge, and survivorship logic for master data entities.\nDefine and document matching criteria and thresholds tailored to the client's data landscape and business requirements.\nEstablish survivorship rules that determine which record attributes are promoted to the golden record based on source system trust and business priority.\nSupport testing and validation of match, merge, and survivorship configurations in client environments.\nBring a modern perspective on MDM operating model design and rollout.\nTool Enablement & Adoption\nEvaluate and recommend MDM tooling options based on client requirements, data volumes, and existing technology landscape.\nTranslate MDM design decisions into clear specifications for technical resources to configure and build within MDM and DQ tools (e.g., Semarchy, Informatica, Reltio, or equivalent), and validate the build against those specifications.\nLeverage AI-assisted features in modern tools (auto-classification, definition drafting, similarity matching, lineage discovery) to accelerate MDM execution.\nFacilitate MDM working groups and coach client staff on stewardship practices to drive alignment and sustainable data ownership.\nCommunicate MDM concepts in clear business language; prepare training materials and adoption guides for executive and cross-functional audiences.\nRequired Qualifications\n5+ years of experience in MDM, data governance, metadata management, or related roles.\nHands-on experience with MDM and/or data catalog tools (e.g., Informatica, Reltio, Semarchy, Talend, Ataccama, or equivalent).\nExperience operating at the program level when MDM is a workstream within a larger transformation initiative (e.g., ERP/CRM modernization, M&A integration), not only standalone scoped delivery.\nExperience leading or supporting MDM working groups or data stewardship councils.\nKnowledge of data access provisioning, integration patterns, ingress/egress flows, or lineage capture.\nDemonstrated ability to define and obtain alignment for business rules, matching logic, and data quality controls.\nStrong communication skills: able to facilitate workshops, write clear business documentation, and present to mixed audiences.\nExperience mentoring or developing other consultants.\nExperience supporting scoping, SOW development, and effort estimation for consulting engagements.\nFamiliarity with governance operating models and stewardship practices.\nKnowledge of privacy regulations (GDPR, CCPA) and how governance practices support compliance.\nWillingness to travel up to 50% per month when required by our clients.\nPreferred Skills\nHands-on experience with Semarchy specifically.\nExperience leading full MDM engagements end-to-end as the primary client-facing owner, directing technical resources and business analysts.\nBachelor's degree in Information Systems, or related field (or equivalent work experience).\nphData celebrates diversity and is committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at phData. We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. 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