
Chief Data Innovation Officer
1 day ago
Job Title: AI Product Visionary
Key Responsibilities:
- Define and execute the product strategy for AI/GenAI-powered solutions across commercial domains including field force effectiveness, omnichannel engagement, patient services, content enablement, and intelligent automation.
- Translate models (e.g., LLMs, NLP, machine learning) into scalable, user-centric products by partnering with data scientists to ensure rigorous data-driven experimentation, evaluation, and optimization.
- Build, lead, and mentor a global team of product managers, technologists, and AI specialists. Foster a high-performance culture grounded in innovation, agility, and continuous learning.
- Identify and incubate high-value AI/GenAI opportunities. Run rapid prototyping, lead pilots, and drive industrial-scale adoption across countries and business units.
- Collaborate closely with engineering, architecture, commercial strategy, field teams, and legal/compliance to ensure delivery of robust, secure, and compliant AI solutions.
- Define success metrics, drive adoption, and measure ROI of AI products. Ensure solutions deliver clear, data-validated value across markets and therapeutic areas.
- Act as an internal and external champion for responsible AI innovation in pharma. Stay at the cutting edge of GenAI tools, open-source models, and emerging frameworks.
Essential Requirements:
- 10+ years of experience in product management, digital transformation, or AI innovation, with at least 3-5 years leading AI/ML or GenAI products at scale.
- Strong applied experience with machine learning, large language models (LLMs), NLP, vector search, and prompt engineering.
- Proven ability to partner with data science and engineering to design, validate, and deploy AI solutions.
- Innovation mindset to drive experiments and evaluate go/no go decision for PoCs.
- Solid understanding of pharma commercial operations, including CRM platforms, omnichannel engagement, field force tech, and analytics.
- Demonstrated success in building and leading high-performing product teams across geographies and functions.
- Strong storytelling, stakeholder management, and executive communication skills.
- Bachelor s degree in computer science, Data Science, Engineering, or a related technical field; Master s, MBA, or PhD is a plus.
Desirable Requirements:
- Applied Mathematics.
- Artificial Intelligence (AI).
- Aws (Amazon Web Services).
- Data Science
- Python (Programming Language).
- R (Programming Language).
- Random Forest Algorithm.
- Statistical Analysis.
- Time Series Analysis
Skills Desired
Applied Mathematics, Artificial Intelligence (AI), Aws (Amazon Web Services), Big Data, Building Construction, Cloud Computing, Computer Science, Data Governance, Data Literacy, Data Management, Data Quality, Data Science, Data Strategy, Electrical Transformer, Machine Learning (Ml), Master Data Management, Professional Services, Python (Programming Language), R (Programming Language), Random Forest Algorithm, Statistical Analysis, Time Series Analysis
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