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Deloitte People Analytics Leader in Parsippany, New Jersey

Channel/Function: Talent

Location/Department: HR Strategy & Transformation (HRST) - People Analytics

Position Reports to: HRST Analytics & Digital Leader

Applicants or employees with disabilities must be offered any reasonable accommodations, which are necessary for them to be able to perform the essential functions of a position.

HR Strategy and Transformation (HRST) transforms how Talent fuels our Deloitte businesses through data-driven insights, industry-leading digital solutions, and human-centered HR service delivery. The HRST People Analytics team develops and executes Talent data strategy and unlocks people-related insights to drive critical decision-making for Talent and the businesses.

The People Analytics Leader leads a team of 70 professionals to provide data-driven insights along the talent lifecycle to Talent and business stakeholders. The team focuses on core system integrations, data strategy & governance, reporting & dashboards, advanced analytics & data science, surveys & employee voice, candidate assessments, and program & pilot evaluations. The role is responsible for building strong partnerships within Talent and the businesses to provide leadership, best practices, and insights for how data and analytics can drive more meaningful decisions.

Work you'll do:

  • Advance the People Analytics vision and strategy to ensure data, analytics, and reporting are trusted, usable, and actionable for today and the future, as needs continue to evolve and grow.

  • Serve as the domain expert for talent data and analytics and be a trusted advisor to Talent and business leaders, including executives.

  • Influence key strategic decisions across Talent and the businesses through data-driven solutions and insights; understand business challenges and identify opportunities for impact using data and analytics.

  • Lead a team of 70 professionals in US and USI across multiple disciplines (e.g., data science, social science, business, data engineer, reporting) and levels to ensure they develop and grow, and are recognized, rewarded, and engaged.

  • Coach, develop, and advise a team of high-performing Senior Managers across multiple profiles on strategy, roadmap, and execution of projects and initiatives. Support them in navigating work situations, removing obstacles, and developing skills, inspiring them to do their very best work.

  • Collaborate and drive consensus across Subject Matter Experts and Leaders across Talent, the businesses, and ITS around the strategy for the tools, infrastructure, technology, processes, and team required to collect, report, and deliver actionable analysis and insights to stakeholders.

  • Lead the People Analytics team in identifying, understanding, and managing connections across different analytic efforts across the Talent Channel, Finance, and the businesses.

  • Drive best practices in process, frameworks, tools, and analysis. Promote operational efficiencies (e.g., data governance, quality) to maximize operational data performance and insights within People Analytics and the Talent channel.

  • Constantly explore and promote innovative data, analytics, and technology solutions to drive efficiencies and effectiveness around data-driven insights (e.g., self-service access, predictive modeling, machine learning, forecasting or statistical modeling).

  • Communicate data findings to executives through a business lens and translate insights and recommendations into the language of the business.

  • Promote a risk-aware data culture to manage compliance, adhere to standards/process; stay abreast of changing requirements and practices for ethical talent data management.

  • Build partnerships and work closely with other Chief Data Officers across the firm to contribute to adoption to firm-wide tools and system solutions.

  • Lead the People Analytics team through continued growth, including upskilling and adoption of new tools (One Model, R, Python) and technologies/platforms (Azure Data Lake, One Model).

    Qualifications:

  • Bachelor's Degree required. Advanced degree preferred (e.g., MBA, Masters in Social Sciences, Statistics, Applied, Math, or Data Sciences)

  • Minimum of 10 years of professional experience, including analytical experience (people analytics experience preferred)

  • Ability to think both strategically and tactically, with strong analytical and problem-solving skills

  • Strong executive presence and influencing skills

  • Excellent program/project management skills

  • Client-service mindset and a desire to take on complex and challenging projects

  • Ability to manage change and ambiguity, take initiative, and be self-motivated to develop a high-performing organization

  • Strong communication and facilitation skills

  • Advanced Microsoft Office skills

  • Advanced data story-telling skills

  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future

Additional Preferred Qualifications:

  • Advanced skills and experience with analytical and visualization software applications (e.g., R, Python, SPSS, Tableau)

  • Understanding of quantitative disciplines (e.g., statistics, machine learning, operations research)

  • Knowledge of talent strategy, disciplines, and processes

  • Understanding of common considerations around talent data, systems, and technology

    All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

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