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

Are you ready to lead the strategy and delivery of innovative analytics products that shape business decisions and drive measurable outcomes? If you bring experience in advanced analytics, GenAI, and team leadership, join us to help build the next generation of Global Employer Services technology solutions.

Work you'll do
The Global Analytics Product Owner will set the strategic vision, roadmap, and implementation plan for Global Analytics Products within Global Employer Services, reporting to the Head of Data and leading a team of analytics engineers and BI developers.

The role will oversee the prioritization and delivery of advanced analytics, traditional business intelligence, GenAI, and agentic AI solutions-including predictive analytics, machine learning, optimization, recommendation engines, and dashboards-that improve business insight, strengthen core product offerings, and drive measurable business value.

You will identify and prototype innovative use cases, conduct market research and competitive analysis, incorporate stakeholder feedback, and partner with Global Technology, transformation leadership, product owners, data and analytics teams, architects, senior leaders, firm partners, and Deloitte clients as appropriate to bring promising ideas to market.

Success will be measured through progress against the analytics.

Responsibilities:



* 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.


* 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.


* 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.

A successful candidate would possess these skills:



* Strong people leadership experience, including building, coaching, and managing high-performing analytics teams in a fast-paced environment.


* Excellent stakeholder management and communication skills, with the ability to translate technical concepts into clear business terms and manage pushback during transformation.


* Strong strategic and analytical judgment, including the ability to connect analytics initiatives to measurable business outcomes and make sound decisions with incomplete requirements.


* An agile, execution-oriented mindset with the ability to prioritize effectively, maintain momentum, and deliver quality results in dynamic environments.


* Ability to assess technical options, challenge design decisions constructively, and guide scalable solutions in partnership with business and technology teams.

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