Key Responsibilities
- Lead teams of Data Engineers, Analytics Engineers, BI Developers, Data Scientists, AI Engineers, and Business Analysts.
- Manage end-to-end delivery of Data & AI projects and programs.
- Review solution designs, architecture decisions, and implementation approaches.
- Drive Agile delivery, planning, risk management, and stakeholder communication.
- Mentor technical teams and support performance management and career growth.
- Collaborate with customers, architects, product owners, and business stakeholders.
- Participate in estimations, solutioning, modernization initiatives, and proposal support activities.
- Ensure delivery quality, customer satisfaction, and successful project outcomes.
Required Experience
- 12+ years of experience in Data, Analytics, Engineering, or AI.
- Career progression from a hands-on technical role into team leadership and management.
- Experience leading teams of 5-20 technical professionals.
- Strong communication, stakeholder management, and delivery leadership skills.
- Experience managing customer-facing projects and engineering teams.
Technical Skills
Strong experience in one or more of the following in each of these categories:
- Cloud & Data Platforms: Azure, AWS, Databricks, Snowflake
- Data Engineering & Analytics: Data Warehousing, Data Lakes / Lakehouse Architecture, ETL / ELT Pipelines, Data Modeling, Data Integration, Data Quality & Governance, Power BI / Tableau
- AI & Modern Data: AI/ML fundamentals, GenAI awareness, MLOps concepts, Data Platform Modernization