Lead Product Manager
Dr. Reddy's Laboratories (company site, opens in a new tab)3–6 yrsHyderabadOn-siteDirect career pageEst. 18–32 LPA
Posted 3h ago
Reach people at Dr. Reddy's Laboratories
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Dr. Reddy's Laboratories you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Define and execute AI product vision and roadmap to support portfolio management and commercial teams, focusing on high-impact use cases like lead generation and market intelligence.
- Drive measurable business outcomes via AI-powered insights, opportunity creation, and revenue pipeline growth, collaborating with sales, portfolio, and regional teams.
- Lead development and delivery of AI agents, predictive models, and recommendation engines ensuring scalability, governance, and achieving defined KPIs through agile methodologies.
Minimum Requirements
- 3-6 years experience in product management, analytics, or digital platforms.
- Experience with AI/ML or data-driven products preferred.
- Bachelor's degree in Engineering, Data Science, Business, or related field required; MBA from a tier-1 institute preferred.
- Exposure to pharmaceutical industry processes is a strong plus.
Ideal Candidate Profile
- Demonstrates strong business-first product thinking with a focus on measurable outcomes and solving ambiguous problems.
- Experienced in cross-functional, global team collaborations, managing stakeholders effectively across business and technology functions.
- Possesses hands-on understanding of data, analytics, and machine learning concepts to bridge business needs with AI technology execution.