Sr. Manager, Enterprise Data
Listed on 2026-10-30
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IT/Tech
Data Engineering
The AES Group is a premier technology and engineering consulting company that has been bringing businesses and talent together for over 20 years to deliver innovative solutions that have the greatest positive impact on society. AES has helped over 40 business enterprises, including Fortune 500 companies, engage their customers, empower their employees, and transform their business operations with the power of cloud, data, AI, engineering, and other emerging technologies.
Role:Senior Manager, Enterprise Data
Location:
Remote
Employment Type:
Full-Time
Salary: $180,000 $ 270,000 per year
About The AES GroupThe AES Group is a premier technology and engineering consulting company that has been bringing businesses and talent together for over 20 years to deliver innovative solutions that have the greatest positive impact on society. AES has helped over 40 business enterprises, including Fortune 500 companies, engage their customers, empower their employees, and transform their business operations with the power of cloud, data, AI, engineering, and other emerging technologies.
AboutThe Role
Our client is seeking a strategic and execution-focused Senior Manager, Enterprise Data to lead the delivery of governed, scalable, and business-aligned data products across multiple enterprise domains. In this role, you will translate enterprise data strategy into actionable roadmaps, build high-performing technical teams, and ensure business stakeholders have access to reliable, secure, and reusable data assets. You will oversee delivery across Data Engineering, Analytics Engineering, Domain Enablement, and Data Governance while partnering with senior technology and business leaders to drive platform adoption and operational excellence.
The ideal candidate combines strong expertise in modern data platforms with proven people leadership, strategic execution, and the ability to navigate complex stakeholder priorities. You should be comfortable guiding technical decisions, managing delivery across multiple work streams, and balancing immediate business needs with long-term platform scalability and governance.
- Translate enterprise data strategy and business objectives into actionable roadmaps, prioritized initiatives, and measurable delivery outcomes.
- Lead a multidisciplinary organization spanning Data Engineering, Analytics Engineering, Domain Enablement, and Data Governance.
- Establish effective delivery practices for planning, prioritization, capacity management, dependency tracking, risk escalation, and stakeholder communication.
- Oversee data-platform onboarding, source-system integration, data-product development, semantic enablement, and governance initiatives.
- Partner with business stakeholders to evaluate use cases, clarify requirements, assess readiness, and establish realistic delivery commitments.
- Balance short-term business priorities with long-term investments in reusable, governed, and maintainable data foundations.
- Guide technical delivery to ensure data solutions are secure, scalable, reliable, production-ready, and aligned with enterprise architecture standards.
- Provide technical oversight of Databricks lakehouse implementations, including Delta Lake, Unity Catalog, Databricks SQL, and Workflows.
- Review technical approaches, implementation plans, risks, and architectural tradeoffs while challenging unnecessary duplication and unsustainable operational practices.
- Collaborate with engineering and platform teams to standardize data ingestion, transformation, deployment, observability, and reliability practices.
- Ensure enterprise data products incorporate data quality controls,…
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