Sr. Manager, Analytics Product Owner - Global Employer Services Technology Center

This role is for a Sr. Manager, Analytics Product Owner responsible for setting the strategic vision, roadmap, and implementation plan for Global Analytics Products. The role involves leading a team of analytics engineers and BI developers, overseeing the prioritization and delivery of advanced analytics, GenAI, and agentic AI solutions. Success will be measured by progress against analytics goals and business value realization.

What you'd actually do

  1. Develops and executes the Global Employer Services Analytics strategy and roadmap, prioritizing investments across machine learning, GenAI, agentic AI, business intelligence, and dashboards based on business outcomes, adoption, ROI, and value realization.
  2. Leads the ideation, prototyping, and delivery of analytics innovations and products, incorporating market, client, and stakeholder feedback to bring scalable solutions to market and ensure business adoption.
  3. Provides hands-on leadership to analytics teams and cross-functional partners, owning priorities, timelines, delivery quality, and execution discipline while coaching talent and partnering with Global Technology and senior stakeholders.

Skills

Required

  • Bachelor's degree in Computer Science, Information Systems, Data Management, or a related field
  • 8+ years of progressive experience in analytics, data, or a related field.
  • Experience leading teams of up to 20 analytics professionals.
  • Proven experience with at least one advanced analytics method such as predictive analytics, recommendation engines, optimization algorithms, segmentation, or forecasting.
  • Successful experience with at least one analytics visualization platform such as Qlik, Power BI, Tableau, or ThoughtSpot.

Nice to have

  • Prior leadership experience as Head of Analytics or in a similar senior analytics role.
  • Domain experience in one or more of the following areas: HR Analytics, Financial Analytics, Sales and Marketing Analytics, or Product Analytics.
  • Experience with Python and machine learning libraries.
  • Experience with Gen AI, RAG, and agentic AI.
  • Experience with AWS.
  • Experience with Responsible AI principles and practices.
  • Ability to assess architecture options, challenge technical design decisions, and guide scalable solutions.
  • Strong stakeholder management skills, including the ability to communicate technical decisions to business leaders and navigate pushback during transformation.

What the JD emphasized

  • lead the strategy and delivery of innovative analytics products
  • GenAI
  • agentic AI solutions
  • predictive analytics, machine learning, optimization, recommendation engines
  • identify and prototype innovative use cases
  • market research and competitive analysis
  • incorporate stakeholder feedback
  • partner with Global Technology
  • drive measurable business value
  • prioritizing investments across machine learning, GenAI, agentic AI
  • business outcomes, adoption, ROI, and value realization
  • delivery of analytics innovations and products
  • bring scalable solutions to market
  • ensure business adoption
  • hands-on leadership to analytics teams
  • cross-functional partners
  • owning priorities, timelines, delivery quality, and execution discipline
  • coaching talent
  • partnering with Global Technology and senior stakeholders
  • Strong people leadership experience
  • building, coaching, and managing high-performing analytics teams
  • Excellent stakeholder management and communication skills
  • translate technical concepts into clear business terms
  • manage pushback during transformation
  • Strong strategic and analytical judgment
  • connect analytics initiatives to measurable business outcomes
  • make sound decisions with incomplete requirements
  • agile, execution-oriented mindset
  • prioritize effectively
  • maintain momentum
  • deliver quality results in dynamic environments
  • assess technical options
  • challenge design decisions constructively
  • guide scalable solutions
  • partnership with business and technology teams
  • Domain experience in one or more of the following areas: HR Analytics, Financial Analytics, Sales and Marketing Analytics, or Product Analytics.
  • Experience with Gen AI, RAG, and agentic AI.
  • Experience with Responsible AI principles and practices.
  • Ability to assess architecture options, challenge technical design decisions, and guide scalable solutions.
  • Strong stakeholder management skills, including the ability to communicate technical decisions to business leaders and navigate pushback during transformation.

Other signals

  • leading product strategy and delivery
  • managing analytics teams
  • driving business value through AI/ML solutions