Senior MDM Architect: AI-Ready Data Strategy

Slalom

Bogotá

Híbrido

COP 477.418.000 - 668.385.000

Jornada completa

Hace 6 días

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Hybrid work model

Travel 25–50%

Descripción de la vacante

Slalom is seeking a senior enterprise MDM leader to drive vision, strategy, and delivery of next-generation data foundations. You will architect multi-domain MDM programs across platforms like Databricks, Snowflake, and Microsoft Fabric, enabling AI-ready ecosystems and data products.

You will guide executive stakeholders on future-state architectures, establish governance-by-design, and lead global transformation efforts while mentoring senior consultants and building reusable AI-enabled

Formación

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, governance, and syndication.
Experience with leading MDM platforms including Informatica, Reltio, Profisee, Semarchy, Stibo STEP, SAP MDG, or 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.

Responsabilidades

Define and own enterprise MDM vision, strategy, operating model, and multi-year roadmap aligned to transformation, AI adoption, and digital modernization.
Advise executive stakeholders on future-state data architectures, including data products, data mesh, lakehouse, knowledge graph, and AI-ready ecosystems.
Architect enterprise-wide mastering strategies across customer, patient, provider, product, supplier, location, and reference data domains.
Leverage AI, ML, 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 apps, 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.