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Senior Director, Data Engineering & Analytics
Alight Solutions. Define and execute the data engineering and analytics roadmap aligned with business and product priorities .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive expertise in data engineering, analytics, and architecture, with a strong focus on modern data platforms and AI-driven solutions. Proven ability to lead teams, manage complex technical roadmaps, and foster collaboration across diverse stakeholders.
Highest-signal resume keywords
Data EngineeringData ArchitectureAI-Driven EngineeringCloud Data PlatformsSQL
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ModelingData Quality PracticesWorkflow OrchestrationPython/PySparkAWS Data ServicesHadoopSparkKafkaData GovernanceMetadata Management
Soft Skills
Strong CommunicationLeadershipCollaborationMentoringInfluencing
Tools & Technologies
Cloud PlatformsData LakesData WarehousesAI ToolsAutomation Practices
Certifications & Qualifications
AWS Certification
Industry Keywords
HR TechnologyBenefitsHealthcarePayrollEnterprise Environments
Tech Stack
Tools & technologiesAWSCloudHadoopKafkaPySparkPythonSparkSQL
About the role
Key responsibilities & impact- Define and execute the data engineering and analytics roadmap aligned with business and product priorities
- Lead modernization initiatives across cloud platforms, data lakes, and enterprise data quality programs
- Balance near-term delivery needs with long-term architectural sustainability
- Manage budgets, vendor partnerships, and technology investment decisions
- Provide hands-on guidance in data architecture, pipeline design, data modeling, and data quality practices
- Lead architecture reviews and key technical decisions for complex data solutions
- Establish engineering standards, best practices, and quality expectations across teams
- Evaluate and implement emerging technologies, including AI-driven engineering capabilities
- Drive adoption of AI and automation across engineering workflows
- Establish governance and standards for AI-assisted development and testing
- Partner across Data & AI teams to ensure platforms support AI/ML initiatives
- Build trusted partnerships across technology, product, operations, and business teams
- Communicate strategy, priorities, risks, and trade-offs to technical and non-technical audiences
- Align stakeholders around shared goals and delivery outcomes
- Collaborate with global Data & AI leaders to drive execution and accountability
- Lead, mentor, and develop teams of data engineers, analytics engineers, technical leads, and data product professionals
- Foster an inclusive, high-performing culture valuing growth, innovation, and diverse perspectives
- Support career development, succession planning, and organizational effectiveness
- Partner globally on workforce planning, capability development, and talent strategy
- Report to the VP of Data, AI & Analytics
Requirements
What you’ll need- 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
- AWS or equivalent cloud certifications
- Bachelor's degree in computer science, Engineering, Information Systems, Mathematics, or a related field
- Equivalent combinations of education, training, and relevant experience will also be considered
- Applicants in the country in which they are applying must have work authorization that does not now or in the future require visa sponsorship
- Successful completion of a background check, as applicable to the position
- Ability to participate in virtual interviews by video
Benefits
Comp & perks- Health, dental and vision coverages starting Day One
- Wellbeing programs
- Retirement plans with contribution matching
- Generous time off
- Parental leave
- Continuing education
- Career growth opportunities
- Flexible working arrangements
- Competitive total rewards package
- Continuing education and training
- Potential for growth within a worldwide organization
- Reasonable accommodations for persons with disabilities during the hiring process