Endava plc

Technical Program Manager

Endava plc • $120K — $145K *
US-AnywhereRemote in United States
Technical Services
5 - 7 years of experience
Today
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Job Overview by Ladders

Qualifications

  • 5+ years of applied forecasting and data domain experience.
  • Proven experience leading multiple forecasting engagements from discovery to production.
  • Expertise in multivariable regression and model tuning/validation.
  • Strong understanding of sparse and zero-inflated datasets.
  • Proficient in Python and SQL, with experience in reproducible analytical workflows.
  • Strong Data and Solution Architecture capability across various platforms.
  • Excellent executive communication skills for conveying complex ideas simply.

Responsibilities

  • Serve as a senior advisor to executives and stakeholders.
  • Lead end-to-end Data & AI solution development based on business needs.
  • Design comprehensive architectures that integrate various data solutions and governance practices.
  • Direct advanced modeling approaches for predictive analytics.
  • Establish success metrics for business and model effectiveness.
  • Provide hands-on leadership with modern data and AI tools.
  • Mentor teams across multiple disciplines in data and AI.

Benefits

  • Robust healthcare offerings including Medical, Dental, and Vision.
  • Flexible Spending Accounts for various needs.
  • Employer Paid Life Insurance and AD&D benefits.
  • 401(k) Safe Harbor Retirement plan with matching contributions.
  • Health Savings Account available with the low-cost plan.
Full Job Description
Job Description
  • 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 RB2, 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.


Qualifications

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 RB2, 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.


Additional Information

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 drivers 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 ADD 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

About Endava plc

Endava is a multinational IT services company headquartered in London, United Kingdom. The company provides digital transformation consulting, agile software development, and testing services to clients in various industries including finance, insurance, healthcare, retail, media and technology. Endava has delivery centers in Romania, Moldova, Bulgaria, Serbia, North Macedonia, Argentina, Uruguay, Venezuela, Colombia, Mexico, and Peru. The company was founded in 2000 and went public on the New York Stock Exchange in July 2018.
Learn more about Endava plc
Size
11,001 employees
Market Cap
$4.3 billion
Industry
Information Technology
Net Income
$35.2 million
5 Year Trend
+32.7%
Revenue
$383 million
NASDAQ
DAVA
* Ladders Estimates

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