At Novartis, we are re-imagining medicine to improve and extend peoples lives. Our work combines breakthrough science, advanced technology, and a deep commitment to patients, caregivers, and healthcare professionals around the world. Innovation at Novartis goes beyond drug discovery - it includes how we educate, engage, and enable better decisions across highly complex scientific and healthcare ecosystems.

The Decision Intelligence Solutionist EMS, sits within the US Innovation Lab (iLab), a pillar in Marketing Technology Product Mgmt, within the Integrated Marketing Organization. In this role, you will join a highly innovative and intrapreneurial group to accelerate emerging technologies and solutions in the US. With a deep expertise in analytics, immersive technologies that enable and enhance customer engagement, AI, XR, and emerging technologies, you will collaborate with key stakeholders in defining and enabling hypotheses testing and measurement models through sound interpretation of actionable insights leading to meaningful business impact potential. And you will focus on critical decision intelligence drivers including impact modeling, hypotheses validation frameworks that enable innovation acceleration aligned to Novartis US Objectives for our EMS and MAVA (metaverse, XR-AR,VR,MR, apps) verticals. We think differently here; we are constantly thinking about tomorrow, and we are designing the future today.

Position Summary :

Operating as a hands-on analyst and solution builder, the Solutionist brings structure to ambiguity by gathering market and internal evidence, executing hypothesis validation, building KPI frameworks, and supporting experimentation and pilots. The Decision Intelligence Solutionist ensures rigor, consistency, and speed of execution across day-to-day innovation work. This role is ideal for an analytically strong, AIcurious professional who thrives in fast-moving environments and wants to grow within a decision intelligence and innovation discipline.

Role Specialization :

The Decision Intelligence Solutionist is a decision-centric -builder who turns noisy signals about EMS, AI, Gaming, Metaverse, Augmented Reality, Virtual Reality, and immersive application technologies into clear, evidence-backed choices for the iLab and its stakeholders. You will operate at the frontiers of horizon scanning and -immersive tech scouting, synthesize -cross industry- evidence, and convert those insights into impact models, explicit assumptions, and KPI trees that guide prioritization, funding gates, and scale decisions while aligning to Novartis governance, data integrity expectations, and business -value- standards for emerging marketing solutions.

This role treats decisions as first-class assets : you'll model decision flows, codify success metrics (leading & lagging), and establish- feedback loops so outcomes continuously improve consistent with the discipline of Decision Intelligence as defined by leading analyst houses.

It is critical for this role to have a practical understanding of Generative AI, in-context prompting, and integration of AI capabilities into enterprise/business workflows. Experience with any of the following is preferred : MS Co-Pilot, AWS Bedrock, Gemini Studio). Previous exploration of in-context engineering, vibe-coding is a plus.

Key Responsibilities :

- Horizon Scanning & Opportunity Discovery : Collaborate with iLab leader to monitor emerging technologies and behavioral trends; surface early opportunities and risks; deliver concise briefs that guide prioritization and experimentation.

- Evidence Led-Use Case Assessment : Run rapid evidence sprints, benchmark feasibility, maintain assumptions logs, and produce decision ready- evaluations for gate reviews and business cases.

- Business Impact Modeling : Assist in developing ROI/NPV and scenario models, articulate uncertainties, and translate technical potential into business relevant impact narratives-.

- KPI & Measurement Systems : Define North Star metrics, create leading/lagging KPI frameworks, and build dashboards that clarify performance, risks, and progress across pilots and scaled launches.

- Experimentation & Learning Loops : Assist in designing and supporting rigorous experiments (A/B, causal, UX/telemetry), ensure data quality and governance alignment, and convert results into actionable insights.

- Decision Governance & Responsible Innovation : Embed responsible tech principles, ensure evidence based prioritization, and contribute reusable methods and templates for -cross iLab- consistency.

- Storytelling : Synthesize insights into crisp decision briefs and executive summaries; communicate tradeoffs and recommendations to leadership.

- Cross Vertical- Alignment : Support a unified DI methodology, ensuring shared standards for evidence, KPIs, and value modeling.

Required Skills & Experience :

- Bachelors degree in Business Management, Analytics, Computer Science, Innovation Management or a related field with a strong focus on interactive and immersive experiences

- Decision Intelligence & decision modeling : Experience representing decisions explicitly (rules, criteria, decision flows) and building feedback loops from outcomes to improve future choices. Familiarity with the DI discipline and its application to immersive experiences.

- Horizon scanning / immersive tech- scouting : Proven ability to scan markets, patents, and research in agentic AI, immersive technologies that enable and enhance customer engagement, Metaverse, AR, VR, XR, spatial computing, and digital twin- technologies; curate shortlists; and run scout - evaluate - pilot cycles with defined scouting KPIs.

- Impact modeling & financial analysis : Strong fluency with ROI, NPV, payback, scenario & sensitivity analysis for immersive applications; ability to align with iLab Business Case templates and EMS and MAVA-specific- value frameworks (training efficacy,

simulation accuracy, adoption uplift).

- Measurement science : Hands-on experience with North Star frameworks, KPI trees, and digital/immersive analytics; ability to distinguish leading vs. lagging indicators for user engagement, experience quality, and learning or workflow outcomes.

- Experimentation & causal methods : Working knowledge of A/B testing, causal inference, and telemetry collection in immersive environments; understanding of how spatial UX and real-time- interaction data influence experiment design.

- Evidence synthesis & communication : Skilled in converting diffuse EMS and MAVA signals into clear decision memos, with assumptions, risks, ergonomics considerations, and regulatory constraints clearly articulated.

- Governance alignment : Familiarity with Novartis governance, risk assessment flows, -data quality requirements, and validation expectations for immersive solutions; ability to embed these into measurement plans and reports-.

Preferred Qualifications :

- Decision platforms & analyst perspectives

- Experience with Decision Intelligence platforms

- Program level- KPI framework design

- Advanced experimentation platforms (e.g., Statsig, GrowthBook)

- Causal analytics (uplift, treatment effect- methods)

- Immersive tech- value realization and post-launch impact measurement

- Experience in pharma/regulated tech contexts

Why Join Novartis Innovation Lab :

- Work on high-impact problems that enable innovation acceleration at the intersection of science, emerging technology, and human behavior

- Contribute to reusable capabilities that shape how Novartis innovates at scale

- Operate in a true customer-centric innovation discipline environment that values evidence, experimentation, and learning