Senior Director, Data Engineering & Analytics (Remote)

Alight Solutions; Illinois; Hybrid; USD 170,000 - 250,000; Full time

Benefits offered by this job

Health insurance

Wellbeing program

Retirement matching

Generous time off

Parental leave

Continued education

Career growth

Job summary

Alight Solutions is seeking a Senior Director, Data Engineering & Analytics to lead and evolve enterprise data engineering, analytics engineering, and data quality functions across a global organization. This leadership role blends strategic vision with technical excellence and people leadership to deliver scalable, high-quality data solutions.

Reporting to the VP of Data, AI & Analytics, you will shape strategy, set engineering standards, and foster collaboration across teams in the U.S.

Qualifications

• 15+ years of experience in data engineering, analytics engineering, data architecture, or related disciplines.
• 5+ years of leadership experience managing multiple teams across global organizations.
• Deep expertise in modern data platforms, cloud data lakes, data warehouses, and distributed data systems.
• Strong proficiency in SQL, Python/PySpark, AWS data services, and workflow orchestration tools.
• Experience leading large-scale data platform modernization or migration initiatives.
• Proven success building and scaling enterprise data quality programs.
• Experience managing complex technical roadmaps and diverse stakeholder groups.
• Demonstrated adoption of AI-enabled engineering tools and automation practices.
• Strong communication skills with the ability to influence executive and business leaders.
• Experience working with geographically distributed teams.
• Experience in HR technology, benefits, healthcare, payroll, or similar enterprise environments.
• Knowledge of Hadoop, Spark, Kafka, and cloud migration strategies.
• Experience with data governance, metadata management, and data catalog solutions.

Responsibilities

• 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 implementing 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, mentoring, and developing 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.

Skills

SQL

Python

PySpark

AWS data services

Workflow orchestration

Data architecture

Data governance

AI/ML familiarity

Leadership

Communication

Education

Bachelor's degree in computer science, engineering, information systems, mathematics, or related field

Tools

Hadoop

Spark

Kafka

Cloud platforms

Job description

Alight Solutions is seeking a Senior Director, Data Engineering & Analytics to lead and evolve enterprise data engineering, analytics engineering, and data quality functions across a global organization. This leadership role blends strategic vision with technical excellence and people leadership to deliver scalable, high-quality data solutions.

Reporting to the VP of Data, AI & Analytics, you will shape strategy, set engineering standards, and foster collaboration across teams in the U.S.