Job Description:
• Lead a mission-driven Innovation Catalyst team; set the vision, operating rhythms, and talent roadmap to deliver repeatable, high-impact AI outcomes across OpCos
• Orchestrate discovery-to-POC cycles with clear success criteria, timelines, and exit/handoff plans so wins move swiftly from concept to scale
• Lead weekly Core Team meetings for several in-flight projects, coordinating educational collaborations between Subject Matter Experts and AI Scientists
• Guide AI scientists to overcome challenges and roadblocks with creative problem solving and a willingness to get involved in implementation details
• Quantify impact up front: model ROI, cost to deliver, risks, value capture, and time-to-value; use these to inform portfolio decisions and sunset low-yield efforts early
• Establish lightweight, durable playbooks for data readiness, MLOps, and responsible AI checkpoints that accelerate delivery while meeting enterprise standards
• Continuously scan the AI landscape; pilot emerging methods and tools, and uplevel team capabilities so we bring the best of the field to Danaher's toughest problems
Requirements:
• Advanced degree in Computer Science, Machine Learning, Physics, Applied Math, or a similar quantitative field; PhD preferred
• 10+ years of experience in data science, AI, or a closely related technical field with a track record of delivering business-impacting solutions
• Experience leading teams and multi-stakeholder initiatives, including portfolio prioritization and execution of AI/analytics work from discovery through handoff to scale
• Demonstrated ability to build objective business cases (ROI, cost, risk, value) to guide investment decisions and govern an AI initiative portfolio
• Proven end-to-end POC delivery: problem framing, data readiness, model development/validation, measurement, and transition to pilots/production
• Strong leadership experience with the ability to build consensus among stakeholders, harmony within cross-functional teams, and inspiration and upleveling of technical teams
• Ability to operate in a remote, matrixed environment and travel as needed for key workshops, Gemba walks, or deployments
Benefits:
• Health insurance
• Paid time off
• 401(k) matching
• Flexible work arrangements
• Bonus/incentive pay
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