Note: The job is a remote job and is open to candidates in USA. Endava is a technology consulting company that partners with brands to create digital platforms and intelligent experiences. The Principal Data & AI Consultant will advise executive stakeholders, lead Data & AI discovery and architecture, and deliver production-ready forecasting, analytics, machine learning, and AI solutions. The role also involves client workshops, proposal support, team leadership, mentoring, and knowledge transfer.
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
Skills
- 7+ years of applied forecasting and data domain experience
- Proven experience leading at least two comparable 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 the 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
- Must be capable of explicitly communicating forecast/model limitations, uncertainty, and risk in plain language
- Proven client consulting and thought-leadership experience; able to teach methodology, not simply execute it
- Demonstrated experience leading senior client workshops, technical discovery, architecture discussions, and executive readouts
- Strong commercial judgment and ability to connect technical decisions to revenue, operational, or customer outcomes
- Participation in both internal meetings and external meetings via video calls, as necessary
- Ability to go into corporate or client offices to work onsite, as necessary
- Prolonged periods of remaining stationary at a desk and working on a computer, as necessary
- Ability to bend, kneel, crouch, and reach overhead, as necessary
- Hand-eye coordination necessary to operate computers and various pieces of office equipment, as necessary
- Vision abilities including close vision, toleration of fluorescent lighting, and adjusting focus, as necessary
- For positions that require business travel and/or event attendance, ability to lift 25 lbs, as necessary
- For positions that require business travel and/or event attendance, a valid driver's license and acceptable driving record are required, as driving is an essential job function
- Preferred domain experience in sports, media, entertainment, streaming, ticketing, subscriptions, sponsorship, advertising, telecom, or commercial/revenue analytics
- Hierarchical/mixed-effects modeling, ADRs, large-scale categorical encoding, MLOps, governance, and responsible AI experience
- Strong Snowflake experience; Snowflake ML / Model Registry experience
- 10–12+ years overall Data, Analytics, AI, Architecture, or related technology experience
Benefits
- Robust healthcare and benefits including Medical, Dental, vision, Disability coverage, and various other benefit options
- Flexible Spending Accounts (Medical, Transit, and Dependent Care)
- Employer Paid Life Insurance and AD&D Coverages
- Health Savings account paired with our low-cost High Deductible Medical Plan
- 401(k) Safe Harbor Retirement plan with employer match with immediately vest
Company Overview
Company H1B Sponsorship