Senior Data Architect & AI Solutions Lead

Endava; Northern (KY); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Healthcare benefits

401(k) retirement plan

Life Insurance

Job summary

Endava is seeking a Senior Data & AI Architect to lead discovery, design end-to-end data architectures, and deliver production-ready forecasting and AI solutions. You will mentor cross-functional teams across Data Science, Data Engineering, and Software Engineering while engaging with CIO/CTO-level stakeholders.

You will shape use cases across forecasting, revenue intelligence, and personalization, ensuring governance, model validity, and business impact.

Qualifications

• 7+ years of applied forecasting and data domain experience.
• Proven experience leading at least two forecasting engagements from discovery through production/handover.
• Strong experience with comparable-unit / same-store-style forecasting approaches.
• Expert-level multivariable regression, collinearity analysis, VIF interpretation, model tuning, selection, and holdout validation.
• Strong understanding of sparse and zero-inflated datasets; must understand why nulls cannot be silently treated as zero.
• Strong metric fluency, including R², WAPE, MAPE, and p-values, with ability to explain metric selection in business language.
• Deep understanding of data leakage and point-in-time feature correctness.
• Strong Python and SQL skills and experience creating reproducible analytical workflows/notebooks.
• Git and pull-request-based software delivery experience.
• Strong Data Architecture and Solution Architecture capability across ingestion, transformation, modeling, security, governance, APIs, cloud, and production operations.
• Strong understanding of ML, GenAI/LLMs, RAG, AI agents, and modern enterprise AI patterns.
• Proven executive communication skills; must be able to present to non-statistical audiences using business outcomes first and methodology second.

Responsibilities

• Serve as a senior trusted advisor to CIO, CTO, CDO, CRO, business, product, and technology stakeholders.
• Lead Data & AI discovery and translate ambiguous business problems into measurable, production-ready solutions.
• Design end-to-end architectures spanning data platforms, analytics, machine learning, GenAI, applications, APIs, governance, and integrations.
• Lead and challenge advanced forecasting and predictive-modeling approaches, including regression, sparse and zero-inflated data, feature design, model selection, tuning, and validation.
• Define appropriate business and model success measures, including R², WAPE, MAPE, statistical significance, and business-impact KPIs.
• Ensure point-in-time correctness, prevent data leakage, and maintain rigorous model-development and validation practices.
• Provide hands-on technical leadership using Python, SQL, Snowflake, notebooks, Git, and modern Data/AI platforms.
• Shape AI use cases across forecasting, sponsorship sales, lead scoring, next-best-action, revenue intelligence, personalization, subscription growth, and commercial optimization.
• Evaluate when classical analytics/ML, GenAI, or agentic AI is the appropriate solution.
• Lead architecture and solution-design workshops and present recommendations to senior and executive audiences.
• Support proposals, SOWs, RFI/RFP responses, estimates, staffing models, and technical solution shaping.
• Lead and mentor multidisciplinary teams across Data Science, Data Engineering, AI Engineering, Software Engineering, and Architecture.
• Actively participate in client stand-ups, backlog refinement, executive readouts, and strategic planning.
• Teach and transfer knowledge to client teams; documentation, reproducibility, and handover are expected parts of delivery.
• Challenge client requests when the proposed approach does not solve the underlying business problem.
• Lead and mentor multidisciplinary teams across Data Science, Data Engineering, AI Engineering, Software Engineering, and Architecture.

Skills

Forecasting

Data architecture

Python

SQL

Snowflake

GenAI/LLMs

Executive communication

Tools

Git

Snowflake ML

Model Registry

Job description

Endava is seeking a Senior Data & AI Architect to lead discovery, design end-to-end data architectures, and deliver production-ready forecasting and AI solutions. You will mentor cross-functional teams across Data Science, Data Engineering, and Software Engineering while engaging with CIO/CTO-level stakeholders.

You will shape use cases across forecasting, revenue intelligence, and personalization, ensuring governance, model validity, and business impact.