Skip to main content
Back to Jobs

Technical Program Manager

Lead Data & AI discovery to translate business problems into production-ready solutions

Serve as a senior trusted advisor to C-suite and technology stakeholders, leading end-to-end design of data platforms, analytics, machine learning, and GenAI solutions. Define business and model success measures, ensure rigorous validation practices, and provide hands-on technical leadership using Python, SQL, Snowflake, and modern AI platforms. Lead architecture workshops, mentor multidisciplinary teams, and support proposals and technical so...

Why This Role?

Shape AI use cases across forecasting, sponsorship sales, lead scoring, and commercial optimization with direct executive impact

Key Responsibilities

  • Lead Data & AI discovery to translate ambiguous business problems into measurable solutions
  • Design end-to-end architectures spanning data platforms, ML, GenAI, APIs, and integrations
  • Lead and challenge advanced forecasting and predictive-modeling approaches including regression and validation
  • Define business and model success measures such as R2, WAPE, MAPE, and statistical significance
  • Provide hands-on technical leadership using Python, SQL, Snowflake, notebooks, Git, and modern Data/AI platforms
  • Lead architecture and solution-design workshops and present recommendations to senior and executive audiences

Requirements

  • 5+ 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 and 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 context

Required Skills

data sciencemachine learningpythonsqlforecastingproject managementdata architecturestakeholder management
View Original Description from SmartRecruiters

Original description from SmartRecruiters

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. Required: 5+ 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. Preferred domain experience in sports, media, entertainment, streaming, ticketing, subscriptions, sponsorship, advertising, telecom, or commercial/revenue analytics. Desired: 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. All your information will be kept confidential according to EEO guidelines. Additional Employee Requirements 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. *If requested, reasonable accommodations will be made to enable employees requiring accommodations to perform the essential functions of their jobs, absent undue hardship. USA Benefits (Full time roles only, does not apply to contractor positions) 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 At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.

Salary Context

Similar AI roles on LokerDollar pay around $215k/yr (range $12k–400k/yr, n=31 active listings).

Hiring at Endava

Endava has 13 other active roles on LokerDollar and has been hiring here since Jun 23, 2026 — across AI, Data & Analytics, Engineering.

View all Endava openings →
Iklan

Openness not stated by employer — check the listing

Company
Endava
Job Type
full time
Location
London, UK · Remote
Category
Seniority
senior
PostedFreshNew & verified
Aug 27, 2026

Share this job

Help a friend find their next remote role.

Frequently asked questions

Is Technical Program Manager at Endava a remote job?
This role is based in Remote. See the listing for remote/onsite details.
What type of employment is Technical Program Manager at Endava?
This is a full time position.
How do I apply?
Click the "Apply" button on this page to go to the official application at Endava.

Explore related

Market data & reports

Salary & skill-demand research built from our own listings data.

From the blog