Senior Manager, Data and Analytics

Location: United States (min 3 days/week in Everett, WA)

About the Role
We are seeking a hands-on Senior Manager, Data & Analytics to lead our enterprise analytics, data pipeline, and AI enablement capabilities within the CIO organization. This role combines people leadership with direct technical and business contribution, requiring an experienced player-coach who can develop talent, drive execution, and personally contribute to high-impact analytics and AI initiatives.

The successful candidate will lead a team of data analysts, data scientists, and data engineers while helping the organization unlock value through trusted data, analytics, and AI. This leader will drive AI adoption, establish governance practices, build scalable data capabilities, and partner closely with stakeholders to solve meaningful business problems.
 

What You'll Do

• Lead and develop a high-performing team of analytics, data engineering, and AI professionals.
  Serve as a hands-on player-coach, personally contributing to complex analytics, AI, and data initiatives while building team capability.
• Drive enterprise analytics and data pipeline delivery, ensuring scalable, reliable, and trusted data services.
• Lead AI enablement efforts through tools, training, experimentation, and adoption programs.
• Establish and maintain AI governance practices, including responsible AI controls, AI agent oversight, and cost optimization.
• Partner with business leaders to translate strategic questions into actionable analytics and AI solutions.
• Deliver forecasting, predictive, risk, demand-planning, and other advanced analytics solutions that improve decision-making and business performance.
• Champion data quality, governance, documentation, and operational excellence across analytics products and services.
• Communicate business value, progress, risks, and outcomes to senior leaders and stakeholders.
   

What Makes You Successful
You are equally comfortable:

• Coaching a data scientist as you are reviewing a model design.
• Leading strategy discussions with executives as you are solving a complex data problem.
• Building organizational capability while rolling up your sleeves to help deliver critical work.
• Driving innovation and experimentation while maintaining high standards for quality, governance, and reliability.
   

Qualifications

• 5+ years of experience in analytics, data science, data engineering, AI, or related fields, including leadership experience.
• Demonstrated success leading teams while remaining actively engaged in technical and analytical work.
• Strong experience with SQL and Python or R.
• Experience building and deploying analytics or AI solutions that drive measurable business outcomes.
• Working knowledge of modern data platforms, pipelines, BI tools, governance, and responsible AI practices.
• Strong communication and stakeholder management skills with the ability to influence both technical and business audiences.
• Bachelor's degree in a quantitative or related discipline, or equivalent practical experience.
   

Leadership Expectations
Successful candidates demonstrate Fluke's GEM leadership behaviors:

Be a Growth Leader

• Identify opportunities to create business value through analytics, data, and AI.
• Balance innovation with disciplined execution.
   

Practice Extreme Ownership

• Take accountability for outcomes from concept through adoption and impact.
• Make data-driven decisions and proactively remove obstacles.
   

Be a Multiplier

• Develop others through coaching, feedback, and collaboration.
• Build strong partnerships and help teams perform at their highest potential.
   

Why This Role Matters
This role is critical to helping the organization scale its analytics and AI capabilities while enabling smarter decisions, greater productivity, and sustainable business growth. The ideal candidate is a builder, coach, innovator, and practitioner who enjoys leading people while remaining close to the work and the business problems being solved.