Director, Data Platform & Engineering

Medallia is the pioneer and market leader in Experience Management. Our award-winning SaaS platform, Medallia Experience Cloud, leads the market in the management of experiences, insights, and actions for candidates, customers, employees, patients, and residents alike.   We believe that every experience is a memory that can last a lifetime. Experiences shape the way people feel about a company. And they greatly influence how likely people are to advocate, contribute, and stay. At Medallia, we are committed to creating a world where organizations are loved by their customers and their employees. We empower exceptional people to create extraordinary experiences together.  Bring your whole self. The Role and Team The Head of Data Platform & Engineering owns our internal enterprise data strategy and platform, turning raw operational data into governed, trusted data products that power decision-making for our executive leadership team (ELT), FP&A, GTM Analytics and other business functions within Medallia. This is a hands-on leadership role for someone with demonstrated experience in defining a data strategy, executing on the platform architecture and data modeling, and building and coaching a small team of data engineers and analysts. This role will also lead the effort to extend self-service analytics beyond a small group of expert Tableau users to a broader, distributed set of business analysts by leveraging the newer breed of analytics solutions and AI.   This role sits at the center of how we operate as one integrated, high-performing company: the data platform is the connective tissue that gives leadership a single source of truth on the health of the business, and gives go-to-market teams (Marketing, Sales, Service, and Support) the insight they need to protect and grow our customer base.

Own and evolve the enterprise data strategy and technical architecture for the enterprise data platform, continuing our shift to a Medallion (bronze/silver/gold) architecture. Build a deep working knowledge of the company's GTM strategy, product telemetry, and financial reporting  needs; act as a trusted advisor to business functions, translating their priorities into well-governed data products and a prioritized roadmap. Partner with business function leaders and their distributed analytics teams to gather requirements, prioritize the backlog, and run an agile delivery model with a clear bias to action. Provide hands-on leadership and coaching to a small team of data engineers and analysts, reviewing data models and pipelines and unblocking technical decisions. Define and maintain data governance standards — quality, access, lineage, and shared definitions — in partnership with data owners across the business. Lead the evaluation and rollout of tools that extend self-service analytics and AI enablement to non-technical business users, reducing reliance on multiple Excel workbooks and avoiding the learning curve of more complex BI solutions. Partner cross-functionally on data initiatives that support revenue growth: pipeline generation, prospecting, expansion and renewal (ATR) opportunities, rep productivity, and product telemetry - bringing greater predictability and insight to the business. Lead the selection, implementation, and management of the core data platform technology stack; partner with business functions on selection and management of the analytics and visualization tools that leverage the data platform. Identify opportunities to apply AI to the data platform itself and to internal reporting and analytics workflows, in line with the company's broader AI-enablement priorities. Candidates based in the Tysons vicinity will be prioritized as this role is Hybrid, 3 days per week onsite.

Minimum Qualifications 10+ years in data engineering and/or data platform management, including 5+ years leading a data platform, data engineering, and/or analytics team. Hands-on experience and