Customer MDM Functional Expert

We are looking for a highly skilled Customer MDM Functional Expert to act as a functional leader for our global Customer MDM landscape, supporting the evolution of our Customer 360 platform on Informatica IDMC from a consolidation towards a Hub & Spoke model.

In this role, your primary responsibility will be to own the Customer Master Data domain from a business and functional perspective, ensuring that governance, data quality, authoring rules, and integration principles are clearly defined, consistently applied, and understood across the organization.

You will work closely with business stakeholders, data owners, data stewards, and technical delivery teams, acting as a key bridge between business needs and technical capabilities, to translate business needs into robust, scalable MDM solutions. While a solid understanding of IDMC and MDM concepts is required, this role is not primarily hands-on technical - it requires strong people skills, facilitation, and decision-making abilities.

You will play a central role in shaping how Customer data is created, governed, shared, and consumed across the enterprise, requiring a strong collaborative and coaching mindset, as you will support and mentor colleagues across the organization.

Key Responsibilities:

• Act as the functional owner of the Customer Master Data domain, with responsibility for definition, usage rules, and evolution.
• Define and maintain Customer data concepts, business definitions, hierarchies, and relationships in alignment with enterprise needs.
• Clarify authoring vs consumption rules across the Hub & Spoke model.
• Ensure alignment between global standards and local business requirements.
• Serve as the point of escalation for domain-level data decisions and conflicts.
• Align and prioritize developments based on value identified for the business.
• Help technical team design, build, and enhance Customer MDM solutions using Informatica IDMC (Customer 360, Reference 360): business entities, data models, hierarchies, and relationships.
• Define match and merge rules, survivorship rules, data quality and cleansing processes, mappings, workflows, and data transformation processes.
• Provide leadership and guidance on best practices across the MDM lifecycle.
• Partner with business stakeholders (Commercial, Supply, Finance, Digital, etc.) to understand customer data needs, pain points, and priorities.
• Translate business objectives into clear functional MDM requirements, guardrails, and governance decisions.
• Facilitate workshops and working sessions to align on data ownership, data lifecycle, data quality expectations, and integration and usage principles.
• Act as a trusted advisor, explaining MDM concepts in business-friendly language.
• Support and operationalize Customer data governance, working hand-in-hand with data owners and data stewards, and enforcing data governance policies and standards within the Customer domain.
• Collaborate with data stewards and business stakeholders to define and implement data quality rules and workflows.
• Help establish and monitor data quality KPIs, ensuring they are meaningful for the business.
• Promote accountability and stewardship practices across regions and functions.
• Ensure and maintain metadata, business definitions, data lineage, data dictionaries, and data standards are well documented and adopted.
• Perform data profiling, cleansing, and standardization activities.
• Investigate data issues, perform root cause analysis, and support technical team to implement corrective actions.
• Partner with business stakeholders to understand data challenges and translate them into technical solutions.
• Collaborate with technical teams to ensure that MDM solutions reflect agreed functional principles, without owning or driving low-level technical design.
• Validate that match and merge logic aligns with business expectations, survivorship reflects ownership and trust rules, and integration patterns support the Hub & Spoke model.
• Participate in solution reviews to ensure functional completeness and business readiness.
• Act as the functional counterpart to technical leads and architects.
• Support the transition toward a Hub & Spoke MDM operating model.
• Contribute to defining and refining the MDM operating model (roles, responsibilities, decision forums).
• Support change management by contributing to training materials, supporting onboarding of new users and data stewards, and helping business teams adopt new processes.
• Encourage a shared understanding of how Customer MDM supports business outcomes.
• Support continuous improvement through reusable frameworks, templates, and best practices.
• Help in the admin definition and related activities (user access, roles, and privileges, etc.).
• Ensure adherence to security policies, regulations, and best practices (access control, data management, etc.).
• Facilitate workshops and contribute to solution discovery and design.
• Support change management initiatives through training and documentation.
• Troubleshoot and resolve complex production issues, with the help of the technical team, including critical data incidents.

Key Competences:

• Customer Data Domain Leadership
• Stakeholder Management, Facilitation, and Documentation
• Business-Technology Translation
• Data Governance Mindset
• Decision-Making and Conflict Resolution
• Communication and Influence
• Data Quality Mindset
• Problem Solving and Analytical Thinking
• Continuous Learning and Innovation

How Success Looks Like:

• Clear and well-understood Customer domain ownership and governance
• Strong alignment between business teams on customer domain activities
• Improved data quality driven by ownership and accountability, not only tooling
• Reduced friction and ambiguity in customer data decisions
• Build high trust between business stakeholders and the Customer MDM organization
• Technical teams enabled by clear functional direction and priorities
• Successful adoption of the Hub & Spoke Customer MDM model
• Measurable improvements in data quality and consistency across systems
• Well-designed and widely adopted customer and reference data models
• Faster and more effective resolution of data-related incidents
• Strong adoption of data governance practices
• Increased team capability through mentorship and knowledge sharing
• Reduced time-to-market for new MDM use cases and enhancements

Qualifications & Skills:

• Bachelor's or Master's degree in Computer Science, Information Systems, or a related field
• 7+ years of experience in Data Management
• Strong experience working with Customer data in complex organizations
• Functional experience with MDM platforms (Informatica IDMC experience is a strong plus)
• Proven ability to work with business stakeholders across functions and geographies
• Understanding of MDM concepts (golden records, governance, stewardship, survivorship, integration patterns)
• Technical background or literacy sufficient to collaborate with technical teams
• Experience in global or federated data models is highly desirable
• 3+ years of experience with Informatica IDMC environments, especially Customer 360, and/or proven experience delivering end-to-end MDM implementations from a functional perspective
• Strong understanding of data modeling, data integration, data quality, and data governance
• Strong understanding of MDM architecture patterns and best practices
• Familiarity with tools such as Snowflake, Databricks, and Power BI is a plus
• Relevant Informatica certifications are a plus
• Experience with other MDM platforms is an advantage

Skills

Customer 360, IDMC, Informatica, MDM, Master Data Management, Reference 360