Lead Product Manager- Ai/ml-data Science. (8-15 Yrs) Mumbai (marketing/pr/advertising)

Our client gives AI powered business intelligence solutions Our client is seeking a visionary Product Lead to drive our data sciences and AI ML product portfolio This is a strategic leadership role at the intersection of advanced technology and business impact combining deep technical knowledge with product management expertise You will define product strategy lead cross-functional teams and scale technical innovations from concept to market success-while delivering exceptional value to clients and maintaining a competitive edge in the Business Intelligence BI and analytics space Key Responsibilities Strategic Product Leadership- Define and execute a comprehensive product strategy for AI ML-powered solutions - Develop and maintain product roadmaps aligned with market trends and customer needs - Own the product vision and competitive positioning across BI and data analytics domains - Lead collaboration across Engineering Data Science and Go-to-Market teams to drive product success Technical Product Management- Oversee the end-to-end development of ML-powered products that solve complex business problems - Integrate advanced AI ML capabilities including LLMs NLP and agent frameworks - Promote best practices in data architecture algorithm development and model deployment - Drive innovation in areas such as vector databases embedding-based retrieval and advanced analytics Market Client Focus- Conduct market research and competitive landscape analysis to identify strategic opportunities - Translate technical capabilities into differentiated customer-centric value propositions - Lead client advisory sessions to gather feedback validate solutions and optimize product-market fit - Ensure measurable business impact and ROI across a diverse set of enterprise clients Team Leadership- Build and mentor high-performing product and technical teams - Cultivate a culture of innovation technical excellence and customer-centricity - Implement frameworks for skill development knowledge sharing and team collaboration - Drive adoption of emerging technologies and modern development methodologies Business Impact- Support P L ownership for the data sciences product portfolio - Define and monitor key metrics such as adoption retention and revenue contribution - Lead product launches and market entry strategies - Collaborate with Sales Marketing and Customer Success for effective go-to-market execution Required Qualifications Technical Expertise- Master s or PhD in Data Science Computer Science Statistics or a related discipline - 8-12 years of experience in data science machine learning or technical product management - Strong expertise in ML algorithms statistical modeling and real-world AI ML applications - Proficiency in Python or R SQL and modern ML frameworks and libraries - In-depth knowledge of NLP LLMs agent frameworks and contemporary AI ML architectures - Experience with big data technologies cloud platforms e g AWS Azure GCP and scalable data processing systems Product Leadership- Minimum 5 years of senior product management experience including 3 years in leadership roles - Proven success in launching and scaling complex B2B technical products - Experience in the BI analytics or data sciences industry - Demonstrated ability to lead product strategy roadmap development and cross-functional teams Business Leadership Acumen- Strong understanding of the enterprise software data analytics and BI markets - Experience with product monetization pricing models and revenue optimization - Comfortable working with C-level executives and influencing strategic direction - Excellent communication skills with the ability to convey complex technical concepts clearly - Experience in dynamic high-growth environments or fast-paced technology organizations Preferred Qualifications - Experience with vector databases MLOps and enterprise-grade ML systems - Background in startups or scale-ups within the technology or SaaS domain - Exposure to enterprise software sales customer success and retention strategies - Track record of successful product exits or leading organizations through scale - Familiarity with data governance security compliance and privacy regulations e g GDPR HIPAA To take this discussion further kindly write in strict confidence ref updazz com