Senior Data & AI Program Manager

Endava; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

Endava in the United States is seeking a Senior Data & AI Architect to serve as a trusted advisor to CIO/CTO and business stakeholders. You will lead data & AI discovery, design end-to-end architectures across data platforms, analytics, ML, GenAI, APIs, governance, and integrations.

You will mentor multidisciplinary teams, shape AI use cases such as forecasting, revenue intelligence, personalization, and optimization, and present recommendations to executives.

Qualifications

• 5+ years of applied forecasting and data domain experience.
• Proven experience leading forecasting engagements from discovery through production.
• Strong regression, model tuning, and validation knowledge.
• Deep understanding of data leakage and point-in-time feature correctness.
• Expert Python and SQL skills with reproducible workflows.

Responsibilities

• Serve as senior trusted advisor to CIO/CTO and stakeholders.
• Lead Data & AI discovery and translate business problems into solutions.
• Design end-to-end architectures across data platforms, analytics, ML, and APIs.
• Lead forecasting and predictive-modeling efforts with rigorous validation.
• Provide hands-on leadership with Python, SQL, Snowflake, notebooks, and Git.
• Shape AI use cases across forecasting, revenue intelligence, personalization, and optimization.
• Mentor multidisciplinary teams and present to executives.
• Participate in client workshops, proposals, and solution shaping.
• Document, ensure reproducibility, and transfer knowledge to client teams.

Skills

Forecasting

Data Architecture

Python

SQL

GenAI/LLMs

Executive communication

Leadership

Tools

Snowflake

Git

Notebooks

Job description

Endava in the United States is seeking a Senior Data & AI Architect to serve as a trusted advisor to CIO/CTO and business stakeholders. You will lead data & AI discovery, design end-to-end architectures across data platforms, analytics, ML, GenAI, APIs, governance, and integrations.

You will mentor multidisciplinary teams, shape AI use cases such as forecasting, revenue intelligence, personalization, and optimization, and present recommendations to executives.