Job description

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 cutting-edge, AI-powered solutions for commercial operations (specializing in CRM (Veeva, Salesforce) data knowledge, Customer MDM data structures (Reltio, Informatica, etc.), IQVIA data structures (TRx, NRx, DDD, etc.), claims data, specialty pharma data, data governance, Dynamic targeting, Segmentation, Call Planning, Brand planning, Business Intelligence, etc.). This strategic role demands a deep understanding of the life sciences industry, combined with expertise in leveraging AI and advanced analytics to drive transformative changes in commercial operations. 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 AI & Data engagements for Life Sciences / Pharma clients, with emphasis on Commercial AI and data transformation, analytics, and digital enablement • Shaping and delivering commercial use cases across account-based selling, HCP/HCO affiliations, dynamic targeting, segmentation, call planning, brand planning, sales and marketing optimization, next best action, and forecasting • Translating commercial business problems into scalable AI, data, and digital solutions built on CRM, Customer MDM, IQVIA, claims, and specialty pharma data • Working across strategy, product, data, engineering, and client stakeholder groups to define solution approach and delivery plans • Advising clients on data governance, operating model implications, business value, roadmap sequencing, and adoption considerations for AI-enabled commercial transformation • Leading engagement planning, staffing, and team mobilization for data and AI 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 AI, analytics, and data solutions for pharma or biotech clients • 4+ years of hands-on experience with Life Sciences commercial data, such as CRM (Veeva, Salesforce), Customer MDM data structures (Reltio, Informatica, etc.), 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 data and AI in areas such as customer engagement, field force excellence and operations, Customer 360, and Sales & Marketing • 2+ years hands-on experience of the commercial data landscape, CRM systems, sales force enablement technologies, and emerging technologies (such as GenAI) and advanced data architectures (i.e., Multimodal data management & model design, Data Mesh, Data Fabric, Data Products, etc.) • 2+ years experience with AI/ML techniques and their application to commercial use cases such as dynamic targeting, segmentation, next best action, and forecasting • 2+ years of experience prioritizing AI 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) • Working knowledge of data governance practices for commercial data • 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.

Requirements

Must-haves

Recruiting for this role ends on 11/30/2026.
Work you’ll do
As a Lead Data Management Engineer II on the AI & Data team, you will be responsible for:
Leading delivery of AI & Data engagements for Life Sciences / Pharma clients, with emphasis on Commercial AI and data transformation, analytics, and digital enablement
Translating commercial business problems into scalable AI, data, and digital solutions built on CRM, Customer MDM, IQVIA, claims, and specialty pharma data
Working across strategy, product, data, engineering, and client stakeholder groups to define solution approach and delivery plans
Advising clients on data governance, operating model implications, business value, roadmap sequencing, and adoption considerations for AI-enabled commercial transformation
Leading engagement planning, staffing, and team mobilization for data and AI 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

Nice-to-haves

Experience with cloud computing platforms, including Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
Working knowledge of data governance practices for commercial data
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

Application prep

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