Manager, Decision Intelligence Solutionist

Location – Hyderabad  #LI Hybrid

Key Responsibilities

Decision Intelligence Execution & Analysis: Execute evidence‑led assessments for AI and emerging technology use cases, including feasibility analysis, assumption tracking, and readiness inputs for stage‑gate reviews. Build and maintain impact models (ROI, scenarios, sensitivities) aligned to iLab business case standards. Support hypothesis definition and validation by translating strategic questions into measurable indicators and test plans

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: Develop 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: Design and support 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 & Leadership Influence: 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.

Role Specialization

The Decision Intelligence Solutionist is a decision‑centric role that turns noisy signals about AI and emerging tech into clear, evidence‑backed intelligence for iLab and its partners. You’ll operate at the frontiers of horizon scanning and tech scouting, synthesize cross‑industry evidence, and convert that insight into impact models, explicit assumptions, and KPI trees that guide prioritization, innovation framework stage gates, and scale decisions—while aligning to Novartis AI governance and business value standards.  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.

Required Skills & Experience

• Bachelor’s degree in business Analytics, Business Management, engineering, or related field, minimum of 5+ years of relevant experience in analytics, decision support, business intelligence, innovation, or adjacent roles
• Strong analytical skills with experience with innovation models and frameworks, building impact models, KPI frameworks, or dashboards
• Working knowledge of AI, emerging technologies, or digital products, with curiosity to learn more
• Ability to operate in ambiguity and execute with guidance from senior leaders
• Strong written and visual communication skills (PowerPoint, Excel, data visualization tools)
• Impact modeling & financial analysis: Strong fluency with ROI, NPV, payback, scenario & sensitivity analysis; ability to align with iLab Business Case templates and value frameworks.
• Measurement science: Hands‑on with North Star frameworks, KPI trees, digital analytics/product analytics; able to distinguish leading vs. lagging indicators and design executive‑ready dashboards.
• Experimentation & causal methods: Working knowledge of A/B testing (including variance reduction, guardrails) and causal inference/uplift for when randomized tests aren’t feasible.
• Evidence synthesis & communication: Skilled in converting diffuse signals into clear decision memos, with assumptions and risks called out; comfort presenting to governance forums.
• Governance alignment: Familiarity with Novartis AI governance, risk assessment flows, and quality/validation expectations; ability to embed these into measurement plans and reports.

Preferred Qualifications

• Decision platforms & analyst perspectives: Exposure to Decision Intelligence Platforms (DIPs) and AI decisioning ecosystems (Gartner/Forrester in their Innovation Function), including decision modeling, governance, and monitoring capabilities.
• Experience with Decision Intelligence platforms
• Program‑level KPI framework design
• Advanced experimentation platforms (e.g., Statsig, GrowthBook)
• Causal analytics (uplift, treatment‑effect methods)
• AI value realization and post‑launch impact measurement
• Experience in pharma/regulated tech contexts undefined

Why Join Novartis Innovation Lab:

• Work on high-impact problems that enable innovation acceleration at the intersection of science, emerging technology, and human behavior, Build and validate next-generation digital solutions used across a global pharmaceutical enterprise. Operate in a true innovation environment that values evidence, experimentation, learning, and measurable business impact.Contribute to reusable capabilities and solutions that shape how Novartis innovates at scale.

Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting, and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together.  https://www.novartis.com/about/roadmap/people-and-culture 

Commitment to Diversity & Inclusion: 

Novartis is committed to building an outstanding, inclusive work environment and diverse team’s representative of the patients and communities we serve. 

Values and Behaviors: Demonstrates and upholds Novartis values and behaviors in all aspects of work and collaboration. 

Location: Hyderabad NKC. Hybrid | 3 days a week in office is mandatory.