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 workstreams

• 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 workstreams

• 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, 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

Qualifications

Required:

• 6+ years of relevant professional experience, including 4+ years in Life Sciences commercial operations with a proven track record of success delivering Customer MDM, data governance, and data solutions for pharma or biotech clients

• 4+ years of hands-on experience implementing Customer MDM on Reltio, Informatica, or a comparable platform, including HCP/HCO data models, affiliations, hierarchies, match-and-merge, and survivorship

• 4+ years of hands-on experience with Life Sciences commercial data, such as CRM (Veeva, Salesforce), IQVIA data structures (TRx, NRx, DDD, etc), claims data, and specialty pharma data

• 4+ years of professional Life Sciences consulting experience driving commercial transformation and innovation for clients, to include MDM, data governance, and AI in areas such as customer engagement, field force excellence and operations, Customer 360, and Sales & Marketing

• 2+ years of experience designing and implementing data governance frameworks, including data stewardship, data quality, and metadata management

• 2+ years of experience prioritizing MDM and data governance use cases, developing delivery roadmaps, and planning resources to ensure accelerated project delivery

• 2+ years experience leading and managing complex projects, budgets, and teams, including delivery teams across multiple locations

• Bachelor's Degree

• 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

Preferred

• Experience with cloud computing platforms, including Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)

• Experience with Veeva Network / OpenData or IQVIA reference data sources, and exposure to AI-assisted data matching and stewardship

• Experience with regulatory and compliance considerations in life sciences data privacy and security

• Reltio or Informatica certifications

• Experience understanding and communicating client strategic business drivers and operational process requirements, then linking specific business requirements to AI & Data capabilities

• Experience creating client workshop collateral and leading interactive working sessions

• Experience presenting technical content to both large and small audiences

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $134,500 to $265,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.