Senior Manager, Enterprise Data

This is a fully remote position, open to applicants in United States.

📋 Description

• Lead and nurture the Enterprise Data delivery team, which includes Data Engineers, Analytics Engineers, Domain Enablement Engineers, and Data Governance specialists.

• Establish consistent delivery rhythms for planning, prioritization, capacity management, roadmap tracking, dependency management, risk escalation, and communication with stakeholders.

• Convert enterprise data strategy and business-domain priorities into sequenced delivery plans that encompass platform onboarding, source integration, data-product delivery, semantic enablement, and governance.

• Collaborate with business leaders and domain stakeholders to refine intake processes, clarify desired outcomes, evaluate readiness, prioritize use cases, and set delivery expectations.

• Coordinate delivery efforts across Data Engineering, Analytics Engineering, Domain Enablement, and Data Governance; address dependencies and escalate decisions as necessary.

• Ensure that outputs meet expectations for production-readiness, data quality, documentation, ownership, lineage, security, access control, and maintainability.

• Work alongside technical leads and specialists in data engineering, analytics engineering, platform/reliability, and governance to ensure alignment with enterprise standards.

• Recruit, coach, develop, and retain a high-performing data team.

• Define and track delivery health metrics, including roadmap progress, throughput, domain enablement time, adoption, quality trends, operational stability, and unresolved dependencies.

• Communicate updates on delivery progress, risks, investment needs, and trade-offs to both business and technology leadership.

• Continuously enhance the delivery model as the enterprise data platform and organization advance.

• Collaborate with the Sr. Director of Enterprise Data & Architecture on strategy, operating model, investment priorities, executive engagement, and cross-functional alignment.

⛳️ Requirements

• 12+ years of experience in data engineering, analytics engineering, BI/data platforms, data architecture, or related technical data fields.

• 3+ years of experience in leading and developing technical teams focused on data, analytics, data products, or data-platform delivery.

• Proven success in leading delivery initiatives across various business domains while balancing competing stakeholder priorities.

• Deep understanding of lakehouse architecture, data pipelines, Bronze/Silver/Gold patterns, dimensional modeling, semantic layers, data quality, metadata, lineage, and governed access.

• Capability to evaluate and challenge technical delivery strategies without being the primary hands-on implementer for every solution.

• Experience in translating business priorities into outcome-driven roadmaps, scoped delivery plans, and feasible sequencing decisions.

• Proficient in collaborating with business stakeholders, software engineering, cloud/infrastructure, security, governance, and architecture functions.

• Strong judgment skills in fast-paced, ambiguous environments.

• Excellent communication, organizational leadership, and stakeholder management abilities.

• Preferred: practical experience with Databricks, including Delta Lake, Unity Catalog, Databricks SQL, or Workflows.

• Preferred: experience in scaling an enterprise data function, operating model for data products, or multi-domain analytics platform.

• Preferred: experience in complex enterprise domains or environments that are regulated and security-sensitive.

• Preferred: background in leading platform migrations, modernizations, ERP transformations, or changes to the enterprise data operating model.

• Preferred: experience in managing distributed, remote, partner, or blended internal/external delivery teams.

🏝️ Benefits

• Bonus

• Benefits package for full-time regular employees

• Equity

• Temporary benefits package after 60 days of employment for temporary employees