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phData

Managed data engineering and ML solutions

Senior Advisory Consultant - Data Governance/MDM

Technology & Systems ConsultingConfirmed live in the last 24 hours
Full-timeRemote in USANo salary listed

About the Job

Requirements

  • At least 5 years of experience in master data management, data governance, metadata management, or related roles.
  • Hands-on experience with master data management and/or data catalog tools such as Informatica, Reltio, Semarchy, Talend, Ataccama, or equivalent.
  • Experience operating at the program level when master data management is a workstream within a larger transformation initiative, such as enterprise resource planning or customer relationship management modernization or mergers and acquisitions integration, rather than only standalone scoped delivery.
  • Experience leading or supporting master data management working groups or data stewardship councils.
  • Knowledge of data access provisioning, integration patterns, ingress and egress flows, or lineage capture.
  • Ability to define and obtain alignment for business rules, matching logic, and data quality controls.
  • Ability to facilitate workshops, write clear business documentation, and present to mixed audiences.
  • Experience mentoring or developing other consultants.
  • Experience supporting scoping, statement of work development, and effort estimation for consulting engagements.
  • Familiarity with governance operating models and stewardship practices.
  • Knowledge of privacy regulations, including GDPR and CCPA, and how governance practices support compliance.
  • Willingness to travel up to 50% per month when required by clients.

Responsibilities

  • Gather and document business requirements for master data management design, including data domains, ownership, governance boundaries, and decision rights.
  • Map stakeholders and decision rights across client organizations and navigate competing priorities that affect governance decisions.
  • Own the executive sponsor relationship by establishing steering committee cadence, keeping sponsors engaged, and escalating if sponsorship disengages.
  • Build the business case for master data management scope, tying recommendations to revenue, cost, or risk outcomes important to the executive sponsor.
  • Support the design of tailored master data management programs, recommending end-to-end workflows, ingress and egress data flows, team structure, and scope.
  • Collaborate with data engineers, analysts, and business owners to embed master data management 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.
  • Design data stewardship roles, validate that stewards have allocated capacity, a clear mandate, and performance incentives, and address access controls, privacy, and regulatory compliance.
  • 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 client data landscapes and business requirements.
  • Establish survivorship rules determining 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 to master data management operating model design and rollout.
  • Evaluate and recommend master data management tooling based on client requirements, data volumes, and existing technology landscapes.
  • Translate master data management design decisions into specifications for technical resources configuring and building within master data management and data quality tools, and validate builds against those specifications.
  • Leverage AI-assisted tool features such as auto-classification, definition drafting, similarity matching, and lineage discovery to accelerate master data management execution.
  • Facilitate master data management working groups and coach client staff on stewardship practices to drive alignment and sustainable data ownership.
  • Communicate master data management concepts in clear business language and prepare training materials and adoption guides for executive and cross-functional audiences.

Desired Qualifications

  • Hands-on experience with Semarchy.
  • Experience leading full master data management engagements end-to-end as the primary client-facing owner, directing technical resources and business analysts.
  • Bachelor's degree in Information Systems or a related field, or equivalent work experience.

About the Company

phData

Managed data engineering and ML solutions

phData provides data engineering, data strategy, and machine learning solutions through end-to-end managed services and consulting for enterprises. It delivers cloud data engineering, data migrations, business intelligence, and ML applications by combining data infrastructure automation with analytics and AI strategy in project-based engagements and ongoing support. It differentiates itself by offering full, service-led delivery focused on sustainable data engineering practices and strong customer success, plus its status as an AWS consulting partner with specialized cloud analytics and ML expertise on AWS. Its goal is to help clients turn data into actionable insights and sustainable growth by building scalable data platforms and AI systems guided by clear roadmaps.

Company size
501-1,000
Company stage
Seed
Total funding
$2.5M
Headquarters
Minneapolis, MN
Founded
2014

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