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Senior Product Manager / Product Consultant
Engagement: Enterprise O&G Client – Maintenance Platform
Experience: 6–8 years
Role type: External consultant / contract PM / senior product consultant
1. Context
We are building a maintenance platform for an enterprise client in the industrial / energy domain. The platform requires structured discovery with business stakeholders to clarify definitions, calculation logic, edge cases, data dependencies, and decision implications.
This is a high-stakes enterprise engagement requiring a PM who can bring structure to ambiguity, work directly with client stakeholders, and support delivery teams with clear, actionable product artefacts.
2. Role objective
We are looking for a B2B / enterprise Product Manager who can quickly step into an ongoing engagement, understand the product and business context, drive KPI and workflow discovery, and ensure smooth delivery coordination across client stakeholders, internal product, design, data, and engineering teams.
The person should be able to convert ambiguous business conversations into clear product decisions, business rules, requirements, user stories, and delivery priorities.
3. Key responsibilities
The PM will be expected to:
4. Must-have experience
We are looking for candidates who have:
5. Strong preference for candidates with
6. What good looks like
A strong candidate will be able to:
7. Important behavioural expectations
This role requires someone who is:
8. Interview focus areas
Candidates will be assessed on:
Job ID: 147487791
Skills:
Ims, Ems, ECN, Buy-side systems, Product Management, API products, OMS, Sell-side vendor integration, Trading workflows, Financial Instruments, Trade lifecycle
Skills:
User Stories, Iot, B2B SaaS, Enterprise SaaS, Product Management, Acceptance Criteria, Fintech, Supply Chain, Analytics Platforms, Workflow Systems, KPI Definition, PRDs, Manufacturing, Agile Environments, FRDs, Communication, BRDs
Skills:
Ui Ux Design, Devops, Cloud Infrastructure, System Architecture, Testing, SaaS platforms, AI-based products, user journey mapping, product analytics, Deployment, analytics-driven solutions, Product Development
Skills:
Data Analytics, Virtualization, Cloud Platforms, Product Management, Infrastructure Technologies
Skills:
Apis, orchestration frameworks, ML automation decision systems, GenAI, LLMs, Evaluation metrics beyond adoption, Accuracy vs cost vs latency considerations, RAG concepts, Familiarity with modern AI tooling and workflows, data-driven systems, AI-powered product features, Model selection and orchestration
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