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

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.

Qualifications

• 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.
• Required: Ability to perform job responsibilities within a hybrid work model that requires US Tax professionals to co-locate in person 2 - 3 days per week.
• Preferred: 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.