Contract - Technical Product Manager

Deloitte (UK); Alabama; Hybrid; USD 104,000 - 147,000; Full time

Job summary

Deloitte (UK) is seeking a Technical Product Manager for Data and AI on a 12-month hybrid contract. You will shape how ideas become scalable products by aligning user needs with architecture, data, and live-service ownership.

You will influence portfolio decisions and help leadership invest wisely, guiding multidisciplinary teams from discovery to live operation. The role requires strong experience in data/AI product lifecycles, cloud platforms, APIs, governance and security, and producing

Qualifications

• Proven technical product-management experience across digital, data, platform or AI-enabled products.

Responsibilities

• Shape how ideas become trusted, scalable products connecting user needs with architecture, data and live-service ownership.
• Influence portfolio decisions and provide executives with confidence to invest.
• Lead multidisciplinary teams to move from opportunity to measurable value.

Skills

Product management

AI/ML product

APIs & integrations

Cloud platforms

Data governance

Roadmaps & backlogs

Stakeholder leadership

Governance & security

Observability

GCP / Databricks

Data products

Portfolio dashboards

Job description

Job Title: Technical Product Manager, Data and AI

Location: UK (Hybrid)

Duration: 12 months

Contract Start Date: ASAP

IR35: Inside

Working with the Deloitte Associate (Contractor) Programme means we can offer you the opportunity to work on a variation of industry and client related projects. Our aim is to retain the best talent and so when your project end date nears our team of Talent Community Advisors will be working with you to look at alternative projects within the firm that suit your experience should you wish to continue with Deloitte.

Role:

As Technical Product Manager, you will shape how promising ideas become trusted, scalable products-connecting user needs and product ambition with architecture, data, engineering, controls, economics and live-service ownership. You will influence decisions across the portfolio, give senior leaders confidence to invest and help multidisciplinary teams move faster from opportunity to measurable value.

• Proven technical product-management experience taking complex digital, data, platform or AI-enabled products through discovery, build, launch and live operation.
• Good understanding of modern software and data product lifecycles, APIs and integrations, cloud platforms, architecture trade-offs, security, reliability and service management.
• Demonstrable ability to translate between business outcomes, user needs and technical requirements without assuming the responsibilities of an architect or engineering lead.
• Good analytical capability, including structuring ambiguous problems, defining metrics, interrogating data, modelling scenarios and converting evidence into recommendations.
• Experience creating and maintaining technical roadmaps, prioritised backlogs, non-functional requirements, acceptance criteria, dependency views and readiness evidence.
• Working knowledge of AI or machine-learning product considerations, including data quality, evaluation, responsible use, human oversight, monitoring and change management.
• Experience navigating technical governance, risk, privacy, security, legal, procurement and operational-readiness processes in a complex organisation.
• Excellent written, verbal and visual communication skills, with a proven ability to produce concise, logically structured, executive-facing material.
• Strong stakeholder leadership and professional scepticism, with the confidence to challenge assumptions, expose uncertainty and ***escalate*** material risks..
• Experience with agentic AI, generative AI, model evaluation, responsible AI controls or production observability.
• Experience with data products, data governance, analytics platforms, GCP, Databricks or comparable cloud and data ecosystems.
• Understanding of SRTA, its partnership model and internal governance routes, including GTOM or AEO.
• Experience developing portfolio dashboards, unit economics, commercial models, value frameworks or capacity analysis.
• Relevant product, agile, cloud, data, architecture or service-management certifications.

IR35

As a means of managing tax, commercial and reputational risks, Deloitte prohibits the use of Associates through Personal Service Companies (‘PSCs’). All Associates must contract under PAYE arrangements through a Deloitte approved ‘Employment Company’ (aka ‘umbrella company.’)

All Associates are employed by Employment Companies and assigned to work for Deloitte (as the client). When working for Deloitte, associates are required to comply with certain Deloitte policies. The employment company is responsible for the associates' employment, pay and administrative functions.