Director, Innovation Catalyst
Danaher Corporation
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $200,000 - $250,000 per year
Job Level
Lead
About the role
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data scienceartificial intelligencemachine learningMLOpsdata readinessmodel developmentmodel validationproblem framingportfolio prioritizationbusiness case development
Soft skills
leadershipproblem solvingstakeholder managementteam collaborationconsensus buildingcommunicationinspirationcross-functional teamworkadaptabilitystrategic thinking
Certifications
PhD in Computer SciencePhD in Machine LearningPhD in PhysicsPhD in Applied Math