Job DescriptionAI Job Description: AI Native Product Manager - ConsultantPractice:Industry & Enterprise | Data & AILevel:ConsultantL9Location:FlexibleWho We AreWe are growing our AI Native Product Management capability to meet our clients' need for outcome-oriented AI products, from proof-of-value through to production and scale. If you are energised by reimagining how products are conceived, built, and continuously improved using AI, and by turning emerging AI capabilities into measurable business value, this is the role for you.
The RoleAs an AI Native Product Manager at the Consultant level, you will work with Accenture's strategic and emerging accounts to identify, shape, and deliver AI-powered productsand embed agentic ways of working across the product lifecycle.You will embed within client organisations, translating business challenges into product strategies, prioritised roadmaps, and actionable requirements, owning product outcomes from discovery through deployment and continuous improvement.
You will be an early member of our Industry & EnterpriseData & AIProduct Management capability, working alongside engineers, designers, and senior product leaders to establish AI-first product development practices, accelerate delivery using AI-native tools, and redefine how enterprise products create value.
What You'll Do- Shape AI product strategy- Identify and prioritise high-impact AI use cases aligned with client business objectives, user needs, and measurable ROI. Define product visions, roadmaps, success metrics, and value hypotheses for traditional and agentic AI products.
- Assess feasibility and value- Evaluate data availability,AI tool andmodel capabilities, technical complexity, cost, and enterprise constraints. Work with engineering and data science teams to validate feasibility, establish business cases, and make informed product trade-offs.
- Define AI-native product requirements-Translate business problems into clear product requirements, user journeys, and acceptance criteria. Write specifications that both engineers and AI coding agents can build from, created via an AI first approach to speed up and strengthen discovery, requirements, and story writing.
- Drive AI-first product delivery- Work shoulder-to-shoulder with client teams, AI engineers, data scientists, and UX designers to deliver products from PoV to production. Leverage AI-native product management tools, rapid prototyping, and agentic workflows to accelerate discovery, experimentation, and delivery.
- Lead experimentation and optimisation-Define product KPIs, validation methods, and experimentation strategies, including A/B testing and phased rollouts. Measure delivery speed, quality, and cost, and monitor KPI performance and business impact to drive continuous improvement.
- Accelerate adoption and responsible AI- Support client adoption of AI products, embedding responsible AI principles, explainability, privacy, security, and regulatory requirements into product decisions. Help upskill client and Accenture teams in AI-native product practices.
- Build strong relationships- Develop trusted relationships with client stakeholders, technical teams, and AI ecosystem partners. Communicate product vision, delivery progress, and business value while proactively identifying new opportunities for AI-led reinvention.
QualificationWhat We're Looking For
Experience- 2-4 years of experience in product management, product ownership, or an equivalent role, ideally with client-facingexposure
- Experience defining product strategies, managing roadmaps, and delivering digital products with measurable business outcomes, ideally in enterprise environments.
- Practical experience using AI-powered products or generative AI in product development workflows, including AI coding agents, spec-driven development, rapid prototyping, and building reusable AI skills or workflows.
Technical & Product Skills- Strong product management fundamentals, including user discovery, requirements definition, prioritisation, product analytics, experimentation, and outcome-based roadmap management.
- Working understanding of LLMs, agentic architectures,tool integrations such as MCP,and AI system limitations. Ability to judge where AI will genuinely add value and assess technical feasibility.
- Hands-on with AI-native tools for research, prototyping, product specification, and delivery. Confident building functional prototypes with AI coding agents and prototyping tools to validate ideas.
- Data-driven mindset with the ability to define success metrics, interpret product and delivery performance, assess ROI, and balance user experience, technical feasibility, cost, and risk.
Consulting & Client Skills- High agency; comfortable navigating ambiguity, challenging traditional product development approaches, and driving outcomeswithout a well defined playbook
- Strong stakeholder management and communication skills; able to translate complex AI concepts into clear product decisions, align business and technical teams, and influence client priorities.
- Curious, commercially minded, and technically fluent. You rapidly adopt emerging AI capabilities, test hypotheses through experimentation, and focus on delivering tangible user and business value.
Preferred- Domain exposure inMedia, or experience delivering AI-enabled products or digital transformation initiatives.
- Experience with agentic product patterns, AI-assisted software development, or deploying AI products into enterprise environments.
LocationsLondon
Additional InformationEqual Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
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