Manager - Data & Analytics

Job Summary

The Manager of Data Analytics leads an HR Data Analytics delivery team responsible for building analytics products that provide actionable insights, not just data outputs. This role partners with HRG Data Analytics leadership to define business questions, translate priorities into analytics product roadmaps, and deliver decision-ready dashboards, models, metrics, and insight narratives that improve workforce planning, operational performance, employee experience, service delivery, and transformation value.

The manager is accountable for value creation across the analytics lifecycle: intake and prioritization, requirements, data quality, visualization, insight generation, adoption, and measured business impact. Success in this role requires analytics product leadership, people management, stakeholder management, strong HR business acumen, and the ability to guide teams from reporting activity toward insight products that inform decisions and action.

Responsibilities

Analytics Product Strategy Value Creation

• Lead delivery of HR analytics products, dashboards, scorecards, and insight solutions that help HR and business leaders understand performance, risks, opportunities, and recommended actions.
• Shift the team from data and report fulfillment to product-based analytics with clear users, business questions, metrics, adoption targets, and value measures.
• Partner with the AVP of Data Analytics to align analytics roadmaps with HR priorities, transformation goals, and enterprise workforce needs.
• Define success measures for analytics products, including usage, decision support, time saved, quality, experience, and influence on business outcomes.

Business Partnership Insight Delivery

• Partner with HRG Data Analytics teams to clarify the decisions to be supported, not just the data to be reported.
• Translate ambiguous business problems into analytics use cases, insight hypotheses, product requirements, and delivery plans.
• Lead synthesis of trends, root causes, risks, and recommended actions for leadership reviews and operational forums.
• Ensure analytics outputs include interpretation, implications, and decision guidance appropriate for executive and operational audiences.

Team Leadership Delivery Management

• Manage, coach, and develop a team of analytics professionals across reporting, BI, data analysis, visualization, data quality, or related capabilities.
• Establish priorities, capacity plans, delivery cadences, quality standards, and review routines for recurring and project-based work.
• Review major deliverables for business relevance, analytical rigor, clarity, usability, and alignment to standards.
• Build a service model that balances responsiveness to stakeholder needs with scalable, reusable, and governed analytics products.

Data Quality, Governance Responsible Analytics

• Partner with data engineering, governance, and business process owners to improve data definitions, metric consistency, lineage, quality, and trust.
• Ensure dashboards and analytics products use approved data sources, standard calculations, and documented assumptions.
• Promote responsible handling of confidential HR data and adherence to privacy, compliance, security, and ethical analytics expectations.
• Escalate data quality, access, control, and governance risks that affect decision-making or product credibility.

AI Enablement Continuous Improvement

• Identify appropriate opportunities to use AI and automation to improve insight generation, documentation, dashboard QA, anomaly detection, narrative summarization, and stakeholder self-service.
• Ensure AI-enabled outputs are human-reviewed, explainable, secure, and aligned to HR data privacy and responsible AI expectations.
• Improve analytics development practices through reusable templates, self-service enablement, standards, documentation, and adoption measurement.

Education Experience

• Bachelor's degree in Business, Analytics, Information Systems, Data Science, Statistics, Computer Science, or a related field; equivalent experience may be considered.
• Typically 10+ years of experience in HR analytics,

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.