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 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 Associate Vice President will be responsible for developing and executing our go-to-market strategy, leading client engagements, building high-performing teams, and fostering innovation within the practice. Work you’ll do As an Associate Vice President, AI and Data Solutions on the AI & Data team, you will be responsible for: • Leading AI & Data engagements for Life Sciences / Pharma clients, with emphasis on Commercial AI and data transformation, analytics, and digital enablement • Shaping and delivering 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 business problems into scalable AI, data, and digital solutions • Working across strategy, product, data, engineering, and client stakeholder groups to define solution approach and delivery plans • Advising clients on operating model implications, business value, roadmap sequencing, and adoption considerations for AI-enabled transformation • Supporting broader AI & Data pursuits and engagements across Life Sciences when needed • Leading engagement planning, budgeting, staffing, and team mobilization for data and AI initiatives • Defining deliverable structure and content; managing quality, timelines, economics, and engagement risk • Managing day-to-day interactions with executive clients and sponsors and facilitating buy-in for proposed solutions • Leading business development activities, including client relationship development, pursuit leadership, proposal development, and pricing strategy input • Coaching and developing practitioners through counseling, staffing input, recruitment, retention, and delivery team leadership • Leading workshops, executive presentations, and stakeholder sessions • Mentoring junior practitioners and 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: • 8+ years of experience in enterprise data architecture, data strategy, analytics, AI/ML, and digital transformation • 6+ years of experience in Life Sciences commercial transformation projects • 6+ years of experience with Life Sciences commercial data and platforms, such as CRM (Veeva, Salesforce), Customer MDM (Reltio, Informatica, etc.), IQVIA data (TRx, NRx, DDD, etc.), claims data, and specialty pharma data • 4+ years of experience leading, managing, and delivering complex technology engagements, with resources in multiple locations • 4+ years of experience shaping executive-level conversations and providing strategic advice, including selling and solutioning data analytics professional services deals • 4+ years of experience with the sales cycle by helping frame client opportunities and participating in pursuit teams, including creating proposal content for client discussions • Bachelor’s degree in Computer Science, Engineering, Data Science, or Artificial Intelligence • 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 leading executive presentations and client workshops for technical and non-technical audiences • Experience developing proposals or solution materials for data and analytics professional services engagements • Experience creating client-facing materials for workshops and interactive sessions • Advanced degree in Computer Science, Engineering, Data Science, or Artificial Intelligence 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 $171,600 to $383,300. 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 an Associate Vice President, AI and Data Solutions on the AI & Data team, you will be responsible for:
Leading AI & Data engagements for Life Sciences / Pharma clients, with emphasis on Commercial AI and data transformation, analytics, and digital enablement
Shaping and delivering 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 business problems into scalable AI, data, and digital solutions
Working across strategy, product, data, engineering, and client stakeholder groups to define solution approach and delivery plans
Advising clients on operating model implications, business value, roadmap sequencing, and adoption considerations for AI-enabled transformation
Supporting broader AI & Data pursuits and engagements across Life Sciences when needed
Leading engagement planning, budgeting, staffing, and team mobilization for data and AI initiatives
Defining deliverable structure and content; managing quality, timelines, economics, and engagement risk
Managing day-to-day interactions with executive clients and sponsors and facilitating buy-in for proposed solutions
Leading business development activities, including client relationship development, pursuit leadership, proposal development, and pricing strategy input
Coaching and developing practitioners through counseling, staffing input, recruitment, retention, and delivery team leadership
Leading workshops, executive presentations, and stakeholder sessions
Mentoring junior practitioners and 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

Nice-to-haves

Experience with cloud computing platforms, including Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
Experience leading executive presentations and client workshops for technical and non-technical audiences
Experience developing proposals or solution materials for data and analytics professional services engagements
Experience creating client-facing materials for workshops and interactive sessions
Advanced degree in Computer Science, Engineering, Data Science, or Artificial Intelligence

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