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, comprising Data Engineers, Analytics Engineers, Domain Enablement Engineers, and Data Governance specialists.

• Establish operational rhythms for delivery that encompass planning, prioritization, capacity management, roadmap tracking, dependency management, risk escalation, and stakeholder communication.

• Translate the enterprise data strategy and business-domain priorities into structured delivery plans, covering platform onboarding, source integration, data-product delivery, semantic enablement, and governance.

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

• Define and sequence domain work while balancing immediate business value with sustainable, governed, reusable data foundations.

• Coordinate delivery efforts across Data Engineering, Analytics Engineering, Domain Enablement, and Data Governance.

• Address dependencies and escalate decisions that require guidance regarding platform, architecture, security, infrastructure, or executive direction.

• Ensure that deliverables align with expectations for production readiness, data quality, documentation, ownership, lineage, security, access controls, and maintainability.

• Review delivery plans, technical strategies, risks, and trade-offs with technical leads.

• Collaborate with leads from engineering, analytics, platform reliability, and governance to ensure alignment of domain delivery with enterprise standards.

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

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

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

• Continuously enhance the team’s delivery model as the data platform, domain portfolio, and organizational maturity advance.

⛳️ Requirements

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

• More than 3 years of experience in leading and developing technical teams responsible for data, analytics, data products, or data-platform delivery.

• Proven success in managing delivery across various business domains while balancing competing stakeholder interests.

• Strong grasp of contemporary data-platform concepts, including lakehouse architecture, data pipelines, Bronze/Silver/Gold patterns, dimensional modeling, semantic layers, data quality, metadata, lineage, and governed access.

• Practical experience with Databricks, including Delta Lake, Unity Catalog, Databricks SQL, Workflows, or related lakehouse functionalities.

• Capability to assess and challenge technical delivery methods without needing to be the primary hands-on implementer for every solution.

• Experience in translating business priorities into outcome-focused roadmaps, scoped delivery plans, and realistic sequencing strategies.

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

• Strong judgment in ambiguous, fast-paced environments with incomplete information and competing demands.

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

• Experience in building or scaling an enterprise data function, data-product operating model, or multi-domain analytics platform.

• Experience in leading data delivery for complex enterprise domains such as Supply Chain, Manufacturing, Finance, Program Finance, GTM, HR, Engineering, or others.

• Familiarity with regulated and security-sensitive environments like aerospace, defense, autonomous systems, manufacturing, or government.

• Experience in leading platform migrations, modernizations, ERP transformations, or changes in enterprise data operating models.

• Experience managing distributed, remote, partner, or blended internal/external delivery teams.

• Must have authorization to work in the United States.

• All offers are contingent upon a cleared background check and possible reference verification.

🏝️ Benefits

• Bonus

• Benefits package

• Equity

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

• Military fellows and part-time employees are not eligible for benefits