Principal - Master Data Management

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.

What You’ll Do

• 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

What You’ll Bring

• 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

Who You’ll Work With

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.

What You’ll Do

• 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 a