Workforce Data & Analytics Manager
- Serve as a primary point of contact for clients, understanding their business needs and translating them into data requirements and analytics solutions.
- Identify new data- & analytics-based business opportunities and lead client sales pursuits
- Lead and support business development activities, including proposal development and client presentations.
- Define top client business questions and challenges by conducting client interviews, synthesizing findings, and identifying key themes coming out of discovery work
- Direct the development of a client's people data and analytics vision, strategy, operating model and roadmap for igniting and scaling insights
- Uncover key client business problems and define related people analytics use cases (and associated data needs) with clear, tangible business outcomes
- Interpret, understand, and present analytics results to clients, with a strong focus on data storytelling and actionable insights
- Stay updated on the latest trends, tools, and technologies in people data, analytics, HR technology and generative AI
- Architect the end-to-end data lifecycle, including developing modern data architectures, engineering robust data pipelines, and designing and building data products that support analytics and AI use cases.
- Lead the development of analytics solutions -- cleansing and wrangling structured and unstructured data, designing and building analytics and models, extracting insights and findings, visualizing outputs, and communicating outcomes
- Manage the design, build, test and deployment of people analytics dashboards, data visualizations and predictive models within Human Capital Management (HCM), People Analytics or enterprise BI platforms
- Leverage quantitative and qualitative data and analytics methods to analyze client data across HR and People Analytics focus areas
- Develop data visualizations that highlight key insights to help clients make informed business decisions related to human capital issues
- Integrate AI and machine learning techniques to enhance HR tools and processes, providing advanced analytics and insights. Train and mentor team members on the use of AI tools and techniques in People Analytics
- Oversee the development of data quality improvement recommendations and data quality remediations
- Understand core principles of data governance and advise clients in developing their own data governance processes.
- Manage delivery of people data and analytics projects for Deloitte clients, including planning projects, staffing projects, overseeing creation and finalization of client deliverables, managing client relationships (VP/EVP level), and providing subject matter expertise to advance complex deliverables and assure quality
- Ensure quality control and adherence to best practices in analytics methodologies and data management.
- Ensure compliance with data privacy regulations and internal policies regarding the handling of sensitive employee data.
- Proactively identify and mitigate project risks related to data quality, security, and delivery.
- Manage, mentor, and develop analytics professionals, fostering a culture of continuous learning and high performance.
- Conduct regular performance reviews, provide feedback, and identify training needs.
- Facilitate collaboration between offshore and onshore teams to ensure seamless project execution.
- Participate in the resource management and staff deployment process
- Bachelor's degree in Computer Science, Engineering, or a related field
- 6+ years ofhands-on experience in Management Consulting or closely related experience in a consultative analytics role
- 5+ years of experience managing teams of 15+ professionals
- 5+ years of experience in leading executing data engineering (profiling, cleansing, normalization, manipulation) tasks and data analysis leveraging relevant tools (e.g., SQL, R, & Python)
- 5+ years of experience with Data Warehouses and Data Lakes (e.g., AWS, Azure, Databricks, Snowflake)
- 5+ years of experience developing reporting and dashboarding in Business Intelligence Tools or People Analytics platforms (e.g., Tableau, PowerBI, Qlik, Visier, OneModel or similar)
- Ability to travel 25-50%, on average, based on the work you do and the clients and industries/sectors you serve
- Limited immigration sponsorship may be available
- Master's degree in Computer Science, Engineering, or a related field
- Led or overseen at least two initiatives or projects where AI or machine learning methods were designed or implemented to solve people analytics or workforce-related challenges
- Facilitated at least three meetings, presentations, or workshops with cross-functional and/or global teams, leading stakeholder discussions or decision-making on complex topics
- Managed at least two data or technology-driven projects through the full project lifecycle (initiation through closure), overseeing budgets, timelines, deliverables, and stakeholder engagement
- Has directly presented or delivered insights from technical projects to HR leadership or executive audiences at least twice, resulting in a defined business action, strategy, or policy adjustment
- Has mapped, designed, or evaluated people analytics data and technology workflows (including data sourcing, transformation, and visualization) for at least one organization or major initiative
- Applied analytic and data visualization skills to support at least 3 projects, using tools such as Tableau, PowerBI, or other visualization platforms to drive decision-making
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