Workforce Data & Analytics Senior Manager
- Lead delivery of people analytics engagements, including project planning, resource allocation, budget tracking, risk management, and execution against client objectives and timelines.
- Manage global and cross-functional teams in the design and delivery of data engineering, analytics, dashboarding, visualization, and modeling solutions across Human Capital Management and enterprise business intelligence platforms.
- Advise clients on people analytics strategy, operating model, roadmap, use cases, and user stories by conducting discovery, defining business questions, and translating findings into actionable recommendations.
- Oversee data architecture, data pipelines, data quality remediation, privacy considerations, and deployment activities to support analytics and artificial intelligence use cases involving employee data.
- Support client relationship management and business development activities, including presenting insights and recommendations, identifying analytics-led opportunities, and contributing to proposals and pursuits.
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to mentor and provide clear guidance to others
- Bachelor's degree in Computer Science, Engineering, or a related field
- 8+ years of experience in management consulting or in a consultative analytics role
- 8+ years of experience managing teams of 15+ professionals
- 8+ years of experience performing data engineering and data analysis using Structured Query Language (SQL), R, and Python
- 8+ years of experience working with data warehouses and data lakes, including Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform, Databricks, or Snowflake
- 8+ years of experience building dashboards and reporting solutions using business intelligence tools or people analytics platforms, including Tableau, Power BI, Qlik, Visier, or OneModel
- 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
- Experience leading at least 2 initiatives in which artificial intelligence or machine learning methods were designed or implemented for people analytics or workforce use cases
- Experience facilitating at least 3 meetings, presentations, or workshops with cross-functional or global stakeholder groups on complex topics
- Experience managing at least 2 data- or technology-enabled projects through the full project lifecycle, including budget, timeline, deliverable, and stakeholder management
- Experience presenting findings from technical projects to Human Resources leadership or executive audiences at least 2 times, resulting in a defined business action, strategy, or policy change
- Experience mapping, designing, or evaluating people analytics data and technology workflows for at least 1 organization or major initiative
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