Master Data Management (MDM) - Principal - US

About Slalom

Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams across 52 offices in 12 countries collaborate with clients to bring powerful customer experiences, innovative ways of working, and new products and services to life. We are trusted by leaders across the Global 1000, many successful enterprise and mid-market companies, and 500+ public sector organizations to improve operations, drive growth, and create value. At Slalom, we believe that together, we can move faster, dream bigger, and build better tomorrows for all.

About the role

Lead the vision, strategy, and delivery of next-generation Master Data Management capabilities that create trusted, AI-ready enterprise data foundations. Design and scale multi-domain MDM solutions that power operational excellence, analytics, agentic AI, GenAI, and data product ecosystems across modern platforms, including Databricks, Snowflake, Microsoft Fabric, and cloud-native architectures.

Responsibilities

• Define and own the enterprise MDM vision, strategy, operating model, and multi-year roadmap aligned to business transformation, AI adoption, and digital modernization initiatives
• Advise executive stakeholders on future-state data architectures, including data products, data mesh, lakehouse, knowledge graph, and AI-ready data ecosystems
• Architect enterprise-wide mastering strategies spanning customer, patient, provider, product, supplier, location, and reference data domains
• Leverage AI, machine learning, graph technologies, and agent-based capabilities to improve entity resolution, relationship discovery, stewardship productivity, and data quality outcomes
• Define target-state integration patterns across operational applications, SaaS platforms, ERP, CRM, data platforms, and AI systems
• Establish governance-by-design approaches connecting stewardship, metadata, lineage, privacy, security, and compliance requirements
• Develop business cases and value realization frameworks that quantify revenue growth, operational efficiency, risk reduction, regulatory compliance, and AI enablement
• Lead large-scale global transformation programs, mentor senior consultants and architects, and contribute to strategic pursuits and thought leadership
• Drive development of reusable accelerators, industry solutions, and AI-enabled delivery assets that differentiate Slalom in the market

Requirements

• 10+ years leading enterprise data, architecture, information management, or digital transformation initiatives with significant MDM leadership experience
• Deep expertise in multi-domain MDM, hierarchy management, match and merge, survivorship, reference data management, stewardship, syndication, and governance
• Experience with leading MDM platforms, including Informatica, Reltio, Profisee, Semarchy, Stibo STEP, SAP MDG, or custom/cloud-native MDM solutions
• Strong expertise in modern data platforms, including Databricks, Snowflake, Microsoft Fabric, BigQuery, Redshift, and associated cloud ecosystems
• Experience designing AI-ready data foundations that support GenAI, Retrieval Augmented Generation (RAG), agents, knowledge graphs, and intelligent automation
• Understanding of data products, domain-driven design, data mesh concepts, metadata management, lineage, observability, and data quality disciplines
• Ability to translate complex technical strategies into executive-level business outcomes and investment decisions
• Proven leadership in client delivery, practice development, asset creation, pre-sales, solutioning, and market growth activities
• Exceptional facilitation, communication, stakeholder management, and mentoring capabilities

Preferred Certifications

• MDM platform certifications such as Informatica, Reltio, Profisee, Semarchy, SAP MDG, or Stibo STEP
• Databricks, Snowflake, Microsoft Fabric, BigQuery, AWS, Azure, or GCP certifications
• DAMA CDMP and certifications across governance, metadata, lineage, catalog, privacy, or AI governance platforms

Work Model

Hybrid and client-facing, with travel based on engagement needs (25–50%). Hybrid/In office: We are hybrid, but there are expectations that if your team leader requires you onsite, you can meet those expectations/requirements.

Benefits

• Meaningful time off and paid holidays
• Parental leave
• 401(k) with a match
• Highly subsidized health, dental, and vision coverage
• Adoption and fertility assistance
• Short- and long-term disability
• Yearly $350 reimbursement account for well-being-related expenses
• Discounted home, auto, and pet insurance

Pay

• Boston, Los Angeles, New Jersey, New York City, Orange County, San Diego, Seattle, Washington DC: targeted base salary $193,000 to $236,000
• Atlanta, Austin, Charlotte, Chicago, Columbus, Fort Worth/Dallas, Denver, Detroit, Hartford, Kansas City, Miami, Minneapolis, Nashville, Philadelphia, Phoenix, Portland, Raleigh, Salt Lake City, St. Louis, Tampa Bay: targeted base salary $177,000 to $216,000

Individuals may be eligible for an annual discretionary bonus. Actual compensation depends on skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time.