Own the end-to-end delivery of a portfolio of fixed-price client engagements
Maintain rigorous visibility into project health across the team
Lead scope management with discipline
Ensure project financials are accurate and current
Conduct structured post-engagement reviews
Partner with sales and business development to scope new client opportunities
Lead or oversee effort estimation for engineering deliverables
Review and sign-off on SOW language relating to engineering deliverables
Serve as the senior engineering point of contact for clients
Proactively communicate project status, risks, and decisions
Lead difficult conversations when engagements are off-track
Lead, coach, and develop a team of solution engineers
Assign engineers to engagements thoughtfully
Build and continuously improve delivery playbooks, estimation templates, and reusable accelerators

7+ years in data engineering, ML/AI engineering, or closely adjacent technical discipline
3+ years in an engineering leadership or delivery management role within a professional services, consulting, or systems integration firm
Demonstrated experience owning fixed-price or outcome-based client engagements
Track record of building and developing high-performing engineering teams in a client-delivery context
Experience supporting pre-sales processes, including scoping, estimation, and proposal development
Strong working knowledge of modern cloud data platforms (e.g., Databricks, Microsoft Fabric, BigQuery, etc.)
Familiarity with AI and ML engineering — including model deployment, MLOps, and practical application of LLMs (RAG pipelines, prompt engineering, API integration)
Proficiency in Python and SQL; hands-on familiarity with dbt, Airflow, Spark, or equivalent transformation and orchestration tooling
Ability to read, review, and provide meaningful technical feedback on engineering work
Understanding of DataOps principles: CI/CD for data, data quality frameworks, testing, and observability in production

Team Lead, Engineering, Data & AI

Key skills