Work you’ll do
As a Data Management Engineer III on the AI & Data team, you will be responsible for:
Supporting delivery of AI & Data engagements for Life Sciences / Pharma clients, with emphasis on Commercial AI, analytics, and data transformation
Building 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
Acquiring, profiling, and analyzing CRM (Veeva, Salesforce), IQVIA (TRx, NRx, DDD, etc), claims, and specialty pharma data, and understanding how Customer MDM structures feed commercial analytics
Developing, testing, and documenting analytical and AI/ML models that translate commercial business problems into scalable solutions
Building dashboards and Business Intelligence reporting that turn insights into decisions for field and brand teams
Applying data governance and data quality practices to the commercial data used in analytics and AI solutions
Collaborating with strategy, product, data, engineering, and client stakeholder groups to shape solution approach and delivery plans
Preparing client-ready deliverables, workshop materials, and presentations
Supporting pursuits and proposal content as needed
Contributing to practice assets and accelerators, and mentoring junior practitioners
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
4+ years of professional experience in analytics, AI/ML, or data solutions, including 3+ years in Life Sciences commercial operations (consulting, pharma, or commercial analytics)
2+ years 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, with working knowledge of Customer MDM data structures (Reltio, Informatica, etc.)
2+ years experience with analytics and/or AI/ML to commercial use cases such as segmentation, targeting, call planning, next best action, or forecasting
2+ years experience with SQL and Python (or R) for data analysis and modeling
2+ years experience leading project workstreams and/or project teams, with resources in multiple locations
Bachelor’s degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related field
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
Client-facing consulting experience, including working with teams across multiple locations
Experience with cloud computing platforms, including Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
Experience with emerging technologies (such as GenAI) and advanced data architectures (i.e., Data Mesh, Data Fabric, Data Products, etc.)
Experience with Business Intelligence and visualization tools (such as Power BI or Tableau)
Experience translating business needs into data and analytical requirements and to communicate clearly with technical and non-technical audiences
Experience with data governance and with regulatory and compliance considerations in life sciences data privacy and security
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 $116,200 to $229,100.
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.
