Decision Analytics Consultant - Digital & Technology Advisory

• 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.

• 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.

• Up to 3 years of post-MBA relevant work experience and 3-5 years of pre-MBA relevant work experience with evidence of strong analytic work (including use of advanced modeling techniques and tools such as R SAS Tableau or VBA.
• 2-4 years of experience in management consulting commercial analytics data strategy or digital transformation - ideally in life sciences or healthcare.
• Strong understanding of pharmaceutical commercial data: the key data domains (HCP patient sales digital payer) how they interconnect and where they create business value.
• Hands-on exposure to "data as a product" concepts - you have experience defining building or managing data products and understand what it takes to move from raw data to business-ready assets.
• Demonstrated ability to build executive-level narratives and business cases that translate technical data initiatives into language leadership cares about - ROI speed-to-insight risk reduction and competitive advantage.
• Excellent communication skills: you can lead a data product roadmap review with business stakeholders in the morning and facilitate a technical design session with a data engineering team in the afternoon.
• Structured problem-solving and a bias toward frameworks - you bring clarity to ambiguity whether scoping a data governance model or prioritizing a product backlog.

• High motivation good work ethic maturity and personal initiative

• Aptitude for and enjoyment of leading and managing teams.

• Effective oral and written communication skills that enable personal impact with senior-level decision makers.

• Strong attention to detail with a quality-focused mindset.

• Analytic problem-solving skills with a creative and innovative outlook.

• Client service orientation.
• Fluency in English.
• Client-first mentality.
• Intense work ethic.
• Collaborative spirit and problem-solving approach.

• Cross-functional skills development & custom learning pathways
• Milestone training programs aligned to career progression opportunities
• Internal mobility paths that empower growth via s-curves individual contribution and role expansions

What We Do

ZS is a management consulting and technology firm that partners with companies to improve 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. Founded in 1983 ZS has more than 15000+ employees in over 40 offices worldwide.

Why Work With Us

ZS is home to passionate people who embrace innovative thinking collaboration and a client-first mindset. Welcome to a company where new ideas are celebrated curiosity is welcomed learning opportunities are abundant and colleagues become lifelong connections.

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