Principal MDM & AI-Ready Data Strategy Lead

Slalom

Colombia

Hybrid

COP 300,000,000 - 520,000,000

Full time

7 days ago

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Job summary

Slalom is seeking an experienced MDM and data architecture leader to define and execute the vision for next-generation multi-domain Master Data Management. You will partner with executives to shape AI-ready data ecosystems across Databricks, Snowflake, Fabric, and cloud-native platforms, guiding large transformation programs and mentoring senior staff.

The role focuses on strategic governance, data products, data mesh concepts, and scalable delivery assets to drive business outcomes and market

Qualifications

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

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