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.
