Job Description
Job Description
In this role, you will serve as a pivotal bridge between cutting-edge technology and business strategy, driving the evolution of our biotech client's AI landscape. You will be responsible for architecting and executing a comprehensive AI roadmap that identifies high-impact machine learning use cases and translates them into scalable, value-driven solutions.
By leading cross-functional innovation initiatives—from initial proof-of-concepts to enterprise-wide deployment—you will foster a culture of experimentation while ensuring robust governance and ethical AI practices. As a strategic advisor to executive leadership, you will turn complex technical advancements into actionable growth opportunities, ensuring the organization remains at the forefront of AI-driven transformation.
About the Company:
Our client is a world-renowned, commercial-stage biotech powerhouse leveraging high-scale AWS/Databricks ecosystems to build autonomous AI agents that will help accelerate life-saving drug discovery and launches.
*This role requires on-site presence, roughly 1x per week.
Key Responsibilities
AI Strategy & Roadmapping
- Develop and maintain the organizations AI strategy, aligning with business objectives and long-term vision.
- Identify, assess, and prioritize AI/ML use cases with clear ROI potential.
- Create strategic AI roadmaps, including technology modernization, capability building, and implementation
- sequencing.
Innovation Leadership
- Lead AI innovation initiatives, including pilots, POCs, pilot accelerators, and cross-functional innovation labs.
- Evaluate emerging AI technologies, tools, and vendors, providing recommendations for adoption.
- Promote a culture of innovation by driving experimentation and continuous improvement.
Cross-Functional Collaboration
- Partner with business stakeholders to translate needs into actionable AI requirements.
- Work closely with data science, engineering, and product teams to develop scalable AI solutions.
- Communicate strategy, progress, risks, and outcomes to executives and broader teams.
AI Governance & Adoption
- Contribute to frameworks for AI ethics, risk management, and responsible AI usage.
- Support enterprise-wide AI adoption, including training, change management, and operating model evolution.
- Establish KPIs to track impact and performance of AI initiatives.
Market & Technology Intelligence
- Monitor emerging trends in generative AI, automation, MLOps, and related technologies.
- Benchmark competitive landscape and industry best practices.
- Provide insights for strategic decision-making and portfolio prioritization.
Required Qualifications
- 3+ years of experience in AI strategy, digital transformation, AI product management; 10+ years of strategy,
- innovation, and product management experience
- Strong understanding of AI/ML technologies, including predictive analytics, NLP, computer vision, and generative AI
- Experience driving end-to-end AI initiatives—from ideation and business case development to deployment and scaling
- Ability to translate complex technical concepts into clear, compelling narratives for executives
- Strong analytical, problem-solving, and decision-making skills
- Hands-on experience with tools/platforms such as Azure AI, AWS AI, GCP Vertex AI, or similar (preferred)
- Background in consulting, enterprise strategy, or innovation labs is a plus
Preferred Qualifications
- Experience implementing MLOps, data governance, and production AI environments
- Familiarity with frameworks such as CRISP-DM, Responsible AI guidelines, or model risk management
- MBA, MS in AI/ML, Computer Science, Data Science, or related field (optional but beneficial)
- Proven success influencing stakeholders at multiple organizational levels
Equal Opportunity Statement
We are an equal opportunity employer and value diversity. They do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by applicable law.