AI&Data MDM Senior Consultant - Life Sciences
AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.
Recruiting for this role ends on 4/30/2026 The team Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively. Position Summary Deloitte is seeking a Senior Consultant, Commercial Master Data Management (MDM) to help clients strengthen commercial data foundations that power trusted analytics, omnichannel engagement, and compliant commercial operations. This role is hands-on with Reltio MDM and/or Informatica MDM (including Informatica Intelligent Data Management Cloud (IDMC) and Data Quality (DQ) capabilities, as applicable) and will focus on key Life Sciences commercial domains including HCP/HCO, affiliations, hierarchies (e.g., Integrated Delivery Networks (IDNs)/health systems), territories and alignment, product masters/hierarchies, and reference data. Help design and run capabilities that produce high-quality golden records, enable effective stewardship, and support consistent syndication of mastered data to downstream platforms (e.g., lakehouse, customer relationship management (CRM), and analytics). Work you'll do
- Serve as an MDM product and delivery lead, defining roadmaps, backlogs, governance, and operating models for commercial master data.
- Partner with cross-functional stakeholders (e.g., Sales, Marketing, Market Access, Commercial Operations, and IT) to align priorities and drive adoption.
- Facilitate the design and maintain MDM data models and hierarchies for HCP/HCO, accounts, affiliations, IDN/health system structures, customer alignment/territories (including effective dating), product hierarchies, and reference data.
- Configure and optimize identity resolution (match/merge), survivorship, and stewardship workflows to reduce duplicates and improve match confidence, including explainable outcomes and controlled exception handling.
- Establish and manage identifier strategies and crosswalks across internal systems (e.g., CRM, data lake) and third-party identifiers, ensuring lineage and auditability.
- Define data quality rules, thresholds, monitoring, and remediation processes; implement profiling, exception queues, and issue management with clear service level agreements (SLAs) and ownership.
- Contribute to standing up and running stewardship and governance operations (roles, routines, queue management), including change control and audit-ready documentation.
- Support privacy-aware design, access controls, and compliance requirements in partnership with Legal, Compliance, and Information Security.
- Drive operational excellence through runbooks, release and environment promotion practices, incident/problem management, and performance monitoring.
- Explore practical human-in-the-loop automation for stewardship (e.g., suggested merges, remediation workflows with approvals) and natural-language search over stewardship cases/lineage, aligned to enterprise controls.
- 5+ years of experience in data management / MDM, including significant experience in Life Sciences commercial data
- 2+ years of hands-on implementation and/or operations experience with Reltio MDM and/or Informatica MDM
- 2+ years demonstrated knowledge of Life Sciences commercial domains (HCP/HCO, affiliations, territories/alignment, CRM, product hierarchies, account structures)
- 4+ years experience designing and operating data governance and stewardship models, including KPI definition and reporting
- 4+ years experience with data integration patterns (batch and streaming), APIs, and data pipelines
- 4+ years experience with data quality tooling and operational monitoring
- Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve
- Limited immigration sponsorship may be available
- Experience with Veeva CRM and Life Sciences commercial data vendors/ecosystems
- Experience with complex affiliation and hierarchy modeling (e.g., time-variant affiliations, multiple hierarchy types)
- Experience operating MDM in a product model (roadmaps, SLAs, release trains, adoption)
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