Mgr, HRIS

Job Requirements

• Product Strategy & Workforce Intelligence
• Define and execute the roadmap for Workforce Intelligence and AI-powered People Analytics products.
• Design scalable workforce intelligence solutions that support HR, leaders, and employees.
• Translate complex workforce questions into intuitive, user-centered experiences.
• Drive adoption, product effectiveness, and measurable business outcomes. AI Skills, Agents & Conversational Analytics
• Lead development of AI Skills, AI Agents, and conversational analytics capabilities.
• Build AI-powered experiences that enable natural language interaction with workforce data.
• Evaluate emerging AI technologies and identify opportunities to accelerate workforce insights and decision support.
• Ensure AI solutions are trusted, transparent, and aligned with responsible AI principles. Data Governance, Security & Trust
• Define governance frameworks, access models, and guardrails for workforce intelligence products.
• Partner with HR, IT, Legal, Privacy, and Security teams to ensure workforce data is secure, trusted, and used responsibly.
• Establish role-based access controls, data governance standards, and AI safety practices.
• Balance strong governance with seamless access to insights and self-service analytics. Data Platform & Analytics Engineering
• Guide development of AI-ready workforce data products and analytics capabilities on Snowflake.
• Partner with HR and IT teams on data modeling, semantic layer design, ETL processes, and analytics architecture.
• Ensure workforce intelligence solutions are scalable, governed, and reusable across the enterprise. People Leadership & Capability Building
• Lead, coach, and develop a high-performing team focused on Workforce Intelligence and AI products.
• Build organizational capability in AI, analytics engineering, product management, and responsible AI.
• Establish best practices, operating processes, and development pathways for the team.
• Foster a culture of innovation, experimentation, and continuous learning. Education Required Qualifications Experience leading a team. Experience building scalable People Analytics, AI, or digital products. Strong understanding of People Analytics, Business Intelligence, Data Engineering, Product Management, or related disciplines. Experience with cloud data platforms such as Snowflake, Databricks, or similar technologies. Experience with SQL, Power BI, data modeling, and modern analytics architectures. Understanding of AI technologies, including Large Language Models (LLMs), AI Agents, Retrieval Augmented Generation (RAG), and conversational AI. Experience working across HR, IT, Security, Privacy, and Legal stakeholders. Strong communication, change management, and stakeholder influence skills. Minimum of 12+ years overall experience, including 5+ years of relevant people management experience with direct reports required #LI-DNI Compensation: The target salary range for this position is 170,000-210,000. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. The range is based on 'On Target Earnings’ (OTE) representing the total potential earnings, which is the sum of the base salary and potential commission earned when performance targets are achieved. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, employee stock purchase plan, and/or restricted stocks (RSU’s). These offerings are subject to regional variations and governed by local laws, regulations, and company policies. We will provide detailed information about the specific benefits for your region during the recruitment process.