Decision Analytics Consultant - Digital & Technology Advisory

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client-first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage and passion to drive life-changing impact to ZS.

 

Insights & Analytics 

ZS's Insights & Analytics group partners with clients to design and deliver solutions to help them tackle a broad range of business challenges. Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem-solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership.    

 

ZS is looking for a consultant to join our Digital & Technology Advisory practice, embedded within the Digital Experience organization of a leading global pharmaceutical company. This is a business advisory role — you will shape how commercial teams leverage data as a strategic asset, translating enterprise data strategy into business-ready data products that drive decision-making across sales, marketing, medical, and patient engagement.

We need consultants who understand the business of commercial data — how HCP, patient, sales, digital, and payer data flows through an organization, where it creates value, and how to package it into reusable products that stakeholders actually adopt. You should be as comfortable leading a data product roadmap discussion with a VP of Commercial Analytics as you are reviewing a semantic layer design with a data engineering team.

 

What You’ll Do:  

• Partner with commercial leadership, analytics, and IT to define and advance the enterprise data strategy — aligning data investments to brand priorities, franchise goals, and cross-functional use cases.
• Develop and present executive-level business cases, investment narratives, and roadmaps that articulate the value of data initiatives to VP and C-suite stakeholders.
• Advise on data governance and operating model design — including roles, decision rights, stewardship structures, and the organizational capabilities required to scale a data-driven culture.
• Facilitate stakeholder alignment across commercial, medical, and IT functions to build shared ownership of data strategy outcomes.
• Lead the design and delivery of reusable data products — applying “data as a product” principles to package curated datasets, semantic layers, KPI frameworks, and analytical assets for business consumption.
• Define data product roadmaps that prioritize use cases across commercial domains: field engagement, omnichannel marketing, patient services, payer/access, and medical affairs.
• Translate business requirements into data product specifications, working closely with data engineering and platform teams to ensure products are reliable, documented, discoverable, and adopted.
• Establish product management practices for data — including intake processes, SLAs, versioning, quality metrics, and consumer feedback loops.
• Serve as a trusted advisor across key commercial data domains: HCP master data, patient/hub data, sales and call activity, digital engagement, consent and preference management, and payer/access data.
• Assess the current state of data assets, identify gaps, and recommend improvements to data quality, lineage, and integration — particularly across CRM, marketing automation, and analytics platforms.
• Support master data management (MDM) strategy and execution, including data harmonization across sources, crosswalk design, and coexistence models for legacy and next-gen platforms.
• Stay current on pharma-specific data considerations: regulatory requirements (HIPAA, CCPA/CPRA, AMA PDRP), consent frameworks, third-party data sourcing (IQVIA, Komodo, Symphony), and emerging trends in real-world data and AI/ML readiness.
• Technology-Informed Problem Solving.
• Maintain working fluency in the commercial data and analytics technology landscape — not to build, but to advise intelligently on platforms such as Snowflake, Databricks, Reltio, Informatica, dbt, and cloud-native data services.
• Evaluate vendor solutions and system integrator delivery against business requirements; identify gaps, risks, and misalignment before they become issues.
• Bridge the gap between business stakeholders and technical teams — ensuring data product requirements are grounded in what is feasible, scalable, and aligned with enterprise architecture.

 

What You’ll Bring: 

• MBA with a bachelor's (and often graduate) degree in a quantitative, analytical discipline, such as Operations Research, Applied Mathematics, Management Science, Data Science, Statistics, Econometrics, or Engineering. Alternately, candidates may possess a PhD in marketing, economics, decision sciences or related field with a business application. In lieu of an MBA or PhD, 5-8 years of relevant work experience may substitute.