Job description

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. The team At Deloitte Tax LLP, our Global Employer Services (GES) Technology Group consultants help multinational clients develop programs, processes and digital offerings to manage a global workforce and the compliance obligations arising from global mobility, business travel and remote working. People within our technology group come from a diverse background – they partner with our go-to-market teams and global clients to solve challenging problems and design experiences and products that anticipate what our Deloitte clients will want and also solutions that keep them compliant with global and local regulations. Qualifications 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 • 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. • Limited immigration sponsorship may be available • One of the following accreditations obtained: • Licensed CPA in state of practice/primary office if eligible to sit for the CPA • If not CPA eligible: • AWS Certified Solutions Architect • Microsoft Azure • Certified Secure Software Lifecycle Professional (CSSLP) • CISSP (Certified Information Systems Security Professional) • Certified in Risk and Information Systems Controls (CRISC) • Alteryx Designer- Advanced Certification • IASA’s Certified IT Architect (CITA) (F/A Level) • Open Group Certified Architect (Open CA) • Certified SAFe® DevOps Practitioner • Six Sigma (Green/Black Belt) • Project Management Professional (PMP) Preferred experience: • 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. • 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. • Certified Analytics Professional (CAP) • Databricks certification • DAMA certification, such as Certified Data Management Professional (CDMP) • AWS machine learning certification • Snowflake certification • Microsoft Fabric certification • Tableau certification You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Requirements

Must-haves

Work you’ll do
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.
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.
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
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.

Nice-to-haves

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.
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.
Certified Analytics Professional (CAP)
Databricks certification
DAMA certification, such as Certified Data Management Professional (CDMP)
AWS machine learning certification
Snowflake certification
Microsoft Fabric certification
Tableau certification

Application prep

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Keywords to mirror

aimachine learningagilegoawsazure

Platform: avature
Effort: medium

Benefits

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