Manager, IT​/Tech

Location: Bengaluru

As the Manager, Market & Competitive Intelligence (MI/CI), you will lead the strategy, transformation, and execution of global intelligence and insights capabilities that enable data-driven business decisions across commercial and therapeutic areas. This role will be responsible for driving the evolution of traditional MI/CI functions through the adoption of advanced analytics, AI, and Generative AI (GenAI) technologies, creating scalable intelligence solutions that accelerate insight generation and decision-making.

You will serve as a trusted strategic advisor to senior business leaders, leveraging market research, competitive intelligence, social listening, secondary and primary research, and AI-powered intelligence platforms to identify market opportunities, competitive threats, emerging trends, and strategic implications. The role will also oversee the modernization of MI/CI operating models, processes, and technology ecosystems to deliver faster, more actionable, and predictive insights.

Key Responsibilities

Strategic Leadership & Capability Transformation

- Define and lead the vision, strategy, and roadmap for Market Intelligence and Competitive Intelligence capabilities across key therapeutic, commercial, and strategic business priorities.
- Drive the modernization of MI/CI functions through the adoption of advanced analytics, automation, AI, and Generative AI technologies.
- Establish scalable intelligence frameworks, operating models, and best practices that improve speed, consistency, and business impact of insight generation.
- Build and execute a digital transformation roadmap for MI/CI, incorporating emerging technologies, external data assets, and knowledge management capabilities.

AI & GenAI Innovation

- Lead the design and implementation of GenAI-powered MI/CI solutions including intelligence copilots, automated literature monitoring, competitive signal detection, insight generation, and executive briefing tools.
- Leverage Large Language Models (LLMs), Retrieval Augmented Generation (RAG), AI Agents, and advanced search technologies to improve intelligence gathering and synthesis.
- Identify opportunities to automate manual research processes and enhance analyst productivity through AI-enabled workflows.
- Partner with Data Science, AI, Product, and Technology teams to develop next-generation intelligence solutions and drive enterprise adoption.

Stakeholder Engagement & Strategic Advisory

- Act as a strategic thought partner to senior leadership, collaborating across Commercial, Marketing, Medical, Market Access, Business Development, and Strategy functions.
- Deliver forward-looking market, competitor, and industry insights that influence key business decisions, product strategy, portfolio planning, and investment priorities.
- Facilitate executive-level discussions by translating complex information into concise strategic recommendations.

Research & Intelligence Leadership

- Oversee a portfolio of secondary research, primary research, competitive intelligence, social listening, market monitoring, and strategic intelligence programs.
- Guide the development of competitive landscapes, market trend assessments, KOL insights, conference intelligence, pipeline tracking, and strategic scenario analysis.
- Ensure methodological rigor, quality assurance, and alignment to business priorities across all intelligence initiatives.

Insight Generation & Storytelling

- Synthesize diverse data sources, market signals, and competitive developments into clear, actionable insights and strategic implications.
- Deliver high-impact executive presentations, dashboards, and intelligence products tailored for senior leadership and cross-functional stakeholders.
- Drive adoption of advanced visualization, storytelling, and insight communication best practices.

Vendor & Ecosystem Management

- Lead relationships with external research agencies, intelligence providers, data partners, and technology vendors.
- Evaluate emerging MI/CI platforms, AI solutions, and data sources to continuously enhance organizational intelligence capabilities.
- Ensure cost-effective execution, vendor performance, and data quality standards.

Governance & Excellence

- Establish governance frameworks for intelligence generation, AI adoption, research quality, knowledge management, and insight dissemination.
- Define KPIs and success measures to evaluate the impact of intelligence activities on business outcomes.
- Promote innovation, continuous improvement, and best practices…