Overview
Product Reinvention Consultant within Accenture's Software & Platforms practice, helping technology and platform companies reinvent how they build, commercialize and scale products in the AI era.
What you'll do
- Assess product portfolios, market opportunities, customer needs and competitive positioning.
- Drive product-market fit assessments, portfolio rationalization, build / buy / partner decisions, investment prioritization and outcome-driven product roadmaps.
- Help clients move from siloed products toward scalable platform models, defining platform capabilities, shared components, product governance, operating models, OKRs, KPIs, backlog priorities and cross-product dependencies.
- Identify and prioritize high-value AI opportunities across the product lifecycle.
- Design GenAI and agentic product use cases, action flows, human-in-the-loop controls, guardrails and governance models.
- Support LLM evaluation, prompt engineering, PoC design and AI-enabled product implementation.
- Help product organizations use AI to accelerate research, requirements, design, build, testing, release and continuous improvement.
- Redesign product workflows to incorporate continuous customer signals, AI-assisted decision-making and faster feedback loops.
- Support clients in evolving product monetisation and go-to-market models, including subscription, usage-based, freemium, outcome-based and hybrid models.
- Shape product-led growth, pricing and packaging, activation, bundling, upsell and cross-sell strategies.
- Design product adoption approaches covering onboarding, enablement, Voice of Customer, adoption metrics and continuous improvement.
- Help clients translate product and AI investments into measurable customer and business outcomes.
- Lead workstreams and client discussions, facilitate workshops, develop executive presentations and business cases, and contribute to proposals, RFP responses and Product Reinvention offerings and thought leadership.
What you'll need
- Product strategy and product management experience within technology, software, platforms or digital businesses.
- Experience in AI-led product transformation, GenAI or Agentic AI.
- Strong consulting, problem-solving and client engagement skills.
- Strong knowledge of product-market fit, customer discovery, portfolio strategy, roadmap design, prioritisation, product lifecycle management, OKRs and KPIs.
- Experience working on digital products, SaaS products, platforms, marketplaces or technology-led business models.
- Strong understanding of GenAI and Agentic AI concepts and their application to products and product development.
- Experience identifying and prioritising AI use cases based on business value, customer impact, feasibility, data readiness and implementation considerations.
- Familiarity with agentic architecture concepts including agents, workflows, action flows, human-in-the-loop controls, guardrails, escalation, explainability and auditability.
- Exposure to LLM selection and evaluation, prompt engineering, AI PoCs and AI-enabled product development.
- Understanding of platform product management, including shared capabilities, APIs, reusable components, platform governance and product operating models.
- Understanding of modern software commercial models including subscription, usage-based, product-led growth, freemium and outcome-based models.
- Strong quantitative and analytical skills with the ability to develop business cases, opportunity assessments and product performance analyses.
- Strong communication and structuring skills; comfortable engaging senior product, business and technology stakeholders.
- Strong PowerPoint and Excel skills.
- Total 6+ years of experience, minimum 4 years in Product Strategy, Product Management, Digital Product Transformation or related consulting roles.
- MBA.
Nice to have
- Platform product management experience.
- Product portfolio strategy experience.
- SaaS, marketplace or Big Tech experience.
- Commercial and growth model transformation experience.
- AI prototyping and product analytics experience.
- Experience with product analytics, prototyping or data visualisation tools.
Details
- Location: Gurgaon or Bangalore.
Read the full description and apply on the company’s own careers page.