Head of Analytics

Role Overview   The Head of Analytics is responsible for leading the organization’s client-facing analytics capability, with a focus on turning data into actionable, trusted insights that help our clients with decision-making. This role must think strategically, engage multiple stakeholders, and evolve our current function. The scope spans analytics, data integration, reporting, and advanced analytics, ensuring the organization can effectively help our clients leverage data from multiple platforms and systems. The role is analytics-led rather than broadly “data-led.” While data governance, security, and compliance strategies are owned by dedicated functions, the Head of Analytics is expected to be governance-aware and to ensure that analytics solutions appropriately consider privacy, security, and regulatory requirements.   Key Responsibilities   Analytics Strategy & Leadership Own the enterprise analytics vision and roadmap aligned to our clients’ business objectives. Identify best practices and mentor a team of business intelligence analysts Prioritize analytics initiatives and use cases across functions such as e-commerce, marketing, customer experience, operations, and finance. Establish analytics standards, success measures, and operating models that support consistent, trusted insights. Data Integration & Analytics Architect Consult with clients to build the integration of data from a wide range of endpoints, including: Social media and digital marketing platforms E-commerce and transactional systems Contact center and customer support (CX) platforms Internal operational and business systems Provide directions on the design and use of APIs, data pipelines, and data streams (batch and real-time). Ensure analytics data is reliably ingested into modern data platforms such as Microsoft Fabric, Databricks, or equivalent data lake and warehouse solutions. Analytics Development & Insight Delivery Oversee analytics modeling, metrics definition, reporting frameworks, and dashboard standards. Drive adoption of analytics by ensuring outputs are accurate, timely, well-documented, and aligned with business questions. Evolve analytics capabilities from descriptive and diagnostic reporting toward predictive and decision-oriented insights where appropriate. AI Enablement & Governance Awareness Provide strategic direction on the responsible use of advanced analytics, ML, and GenAI capabilities to enhance insight generation, decision support, and analytics efficiency. Ensure analytics and AI solutions are designed with appropriate consideration for data governance, security, privacy, and regulatory requirements, in partnership with Compliance and Technology teams. Team, Capability & Vendor Management Build and lead a multidisciplinary analytics function, potentially including analysts, analytics engineers, BI developers, and external partners. Define required skill sets, roles, and career paths to scale…