Life Sciences Data Management, Lead; MDM​/DGov

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

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 11/30/2026.

Position Summary

Deloitte is seeking a visionary and results-oriented professional to help lead our Life Sciences Commercial Operations practice, specializing in trusted customer data and cutting-edge, AI-powered solutions for commercial operations (specializing in Customer MDM data structures (Reltio, Informatica, etc.), HCP/HCO and affiliation data, CRM (Veeva, Salesforce) data knowledge, IQVIA data structures (TRx, NRx, DDD, etc.), claims data, specialty pharma data, data governance, data quality, Customer 360, etc.).

This strategic role demands a deep understanding of the life sciences industry, combined with expertise in master data management, data governance, and AI to ensure that Dynamic targeting, Segmentation, Call Planning, Brand planning, and Business Intelligence run on accurate, connected, and well-governed customer data. The Manager will be responsible for contributing to our go-to-market strategy, leading client engagements, building high-performing teams, and fostering innovation within the practice.

Work you'll do

As a Lead Data Management Engineer II on the AI & Data team, you will be responsible for:

• Leading delivery of Customer MDM and Data Governance engagements for Life Sciences / Pharma clients, with emphasis on trusted customer data foundations for Commercial AI, analytics, and digital enablement

• Shaping and delivering MDM-enabled commercial use cases across Customer 360, account-based selling, HCP/HCO affiliations, dynamic targeting, segmentation, call planning, brand planning, and sales and marketing optimization

• Designing Customer MDM solutions and target-state architecture on platforms such as Reltio and Informatica, mastering HCP, HCO, and affiliation data across CRM (Veeva, Salesforce), IQVIA, claims, and specialty pharma sources

• Guiding the design of match-and-merge rules, survivorship rules, data quality rules, and data stewardship workflows

• Advising clients on data governance operating models, including ownership, standards, quality metrics, and issue management, along with roadmap sequencing and adoption considerations

• Working across strategy, product, data, engineering, and client stakeholder groups to define solution approach and delivery plans

• Leading engagement planning, staffing, and team mobilization for MDM and data governance initiatives; managing budgets, timelines, quality, and engagement risk

• Defining deliverable structure and content for assigned work streams

• Managing day-to-day interactions with client leads and senior stakeholders and facilitating buy-in for proposed solutions

• Supporting business development, including pursuit support, proposal development, solution materials, and pricing input

• Coaching and developing practitioners through counseling, staffing input, recruitment, and delivery team leadership

• Leading workshops, executive presentations, and stakeholder sessions

• Contributing to practice, offering, and go-to-market development

A successful candidate would possess these skills:

• Ability to work independently and collaborate as part of a team

• Effective written and verbal communication skills

• Meticulous attention to detail and quality of work product

• Ability to build and sustain professional relationships

• Ability to lead projects or work streams

• Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment

• Strong interpersonal skills and professional demeanor

• Ability to mentor and provide clear guidance to others

The team

Our AI & Data practice offers comprehensive solutions for designing,…