Sr. Director Data Engineering & Analytics - Virtual

At Alight, we believe a company’s success starts with its people. Alight embraces values that come directly from our people – purposeful, human, united and growth-minded – reflecting our inclusive culture and promise that our clients expect. We are passionate about connecting purpose with impact. Alight empowers clients to build a healthier and more financially secure workforce by unifying the benefits ecosystem across health, wealth, wellbeing, navigation, and absence management.

With a comprehensive total rewards package, Alight offers programs and plans that support your mind, body, wallet, and life. Benefits include health, dental and vision coverages starting Day One. Additionally, Alight colleagues enjoy wellbeing programs, retirement plans with contribution matching, generous time off, parental leave, continuing education, and career growth opportunities – all within a thriving global organization.

So that you can be your best at work and home, we consider flexible working arrangements wherever possible. Alight has been a leader in the flexible workspace and “Top 100 Company for Remote Jobs” 6 years in a row.

Thanks to the work of every colleague, Alight has received multiple awards of recognition including “Great Place to Work” for the past 7 years and Fortune’s “Best Companies to Work For.” To learn more about our company culture and awards .

We are seeking a Senior Director, Data Engineering & Analytics to lead and evolve our enterprise data engineering, analytics engineering, and data quality functions. This leadership role blends strategic vision, technical expertise, and people leadership to drive scalable, high-quality data solutions across a global organization.

Reporting to the VP of Data, AI & Analytics, this leader will shape technical strategy, establish engineering standards, and foster a culture of collaboration, innovation, and continuous improvement across teams in the U.S. and India.

• Defining and executing the data engineering and analytics roadmap aligned with business and product priorities.
• Leading modernization initiatives across cloud platforms, data lakes, and enterprise data quality programs.
• Balancing near‑term delivery needs with long‑term architectural sustainability.
• Managing budgets, vendor partnerships, and technology investment decisions.
• Providing hands‑on guidance in data architecture, pipeline design, data modeling, and data quality practices.
• Leading architecture reviews and key technical decisions for complex data solutions.
• Establishing engineering standards, best practices, and quality expectations across teams.
• Evaluating and implement emerging technologies, including AI‑driven engineering capabilities.
• Driving adoption of AI and automation across engineering workflows.
• Establishing governance and standards for AI‑assisted development and testing.
• Partnering across Data & AI teams to ensure platforms effectively support AI/ML initiatives.
• Building trusted partnerships across technology, product, operations, and business teams.
• Communicating strategy, priorities, risks, and trade‑offs to both technical and non‑technical audiences.
• Aligning stakeholders around shared goals and delivery outcomes.
• Collaborating closely with global Data & AI leaders to drive execution and accountability.
• Leading, mentor, and develop teams of data engineers, analytics engineers, technical leads, and data product professionals.
• Fostering an inclusive, high‑performing culture that values growth, innovation, and diverse perspectives.
• Supporting career development, succession planning, and organizational effectiveness.
• Partnering globally on workforce planning, capability development, and talent strategy.

• 15+ years of…