Senior Data & AI Program Lead (Forecasting & GenAI)

Endava; United States; Remote; USD 180,000 - 240,000; Full time

Benefits offered by this job

Healthcare and benefits

401(k) plan with employer match

Flexible work options

Job summary

Endava is seeking a senior Data & AI leader to partner with CIO/CTO and business stakeholders. You will steer discovery, translate complex problems into scalable, production-ready solutions, and shape architectures spanning data platforms, analytics, ML, GenAI, APIs and governance.

You will mentor teams across Data Science, Data Engineering, AI Engineering, Software Engineering, and Architecture, while balancing business outcomes with rigorous validation and responsible AI practices.

Qualifications

• Experience leading forecasting engagements from discovery to production handover.
• Expert-level regression, model validation and feature design.
• Strong client consulting and executive storytelling capabilities.
• Proven ability to connect technical decisions to business outcomes.

Responsibilities

• Serve as senior trusted advisor to CIO/CTO/CDO and business stakeholders.
• Lead Data & AI discovery and translate problems into production-ready solutions.
• Design end-to-end architectures across data platforms, analytics, ML, APIs, and governance.
• Lead and mentor multidisciplinary teams across Data Science, Data Engineering, and Architecture.

Skills

Data Strategy

Forecasting

Executive communication

Python

SQL

Snowflake

MLOps

GenAI/LLMs

Architecture

Education

Bachelor's degree in CS / Stats / Math

10-12+ years in data/analytics/AI

Tools

Snowflake ML

Git

Notebooks

Job description

Endava is seeking a senior Data & AI leader to partner with CIO/CTO and business stakeholders. You will steer discovery, translate complex problems into scalable, production-ready solutions, and shape architectures spanning data platforms, analytics, ML, GenAI, APIs and governance.

You will mentor teams across Data Science, Data Engineering, AI Engineering, Software Engineering, and Architecture, while balancing business outcomes with rigorous validation and responsible AI practices.