Product Manager Ai Transformation

Year    Navi Mumbai, Maharashtra, India

Job Description

This role is for one of the Weekday's clients
Salary range: Rs 1000000 - Rs 3000000 (ie INR 10-30 LPA)
Min Experience: 2 years
Location: Navi Mumbai
JobType: full-time
We are looking for a Product Manager - AI Transformation to drive the discovery, design, and delivery of AI-powered solutions across complex business domains such as commodities trading, financial markets, and related operations. This role sits at the intersection of business, data, and technology, translating real-world workflows into scalable, intelligent products.
Requirements
Key Responsibilities

  • Partner closely with business leaders, domain experts, and end users to understand and document complex processes across commodities trading, hedge fund operations, quantitative finance, and related domains.
  • Analyze existing workflows, data sources, and enterprise systems (including ERPs) to identify high-value data inputs for AI-driven use cases.
  • Convert business requirements into clear functional and technical specifications, user stories, process flows, and data models for engineering and data science teams.
  • Act as a domain SME for business processes, data requirements, and trade lifecycles involving commodities, derivatives (futures & options), and quantitative strategies.
  • Collaborate with data scientists and AI engineers to define data needs, interpret model outputs, and ensure AI solutions align with business goals.
  • Support the full product lifecycle including solution design, development, UAT coordination, deployment, and post-implementation enhancements.
  • Create and maintain detailed product and project documentation.
  • Stay current with AI trends, LLM advancements, and best practices relevant to financial and trading ecosystems.
  • Communicate effectively with senior stakeholders, providing clear updates on progress, risks, and outcomes.
Required Qualifications & Experience
  • 2+ years of experience as a Product Manager, with a strong focus on technology-led initiatives.
  • Solid understanding of software development lifecycles, system architecture, and integration concepts.
  • Proven ability to break down complex problems and translate them into actionable product solutions.
  • Strong analytical, critical thinking, and problem-solving skills.
  • Excellent written and verbal communication skills, capable of engaging both technical and non-technical stakeholders.
  • Hands-on experience in requirements gathering, stakeholder management, and product documentation.
Must-Have Skills
  • Proficiency in Figma for product and UX collaboration.
  • Strong working knowledge of MS Excel or Google Sheets for data analysis and reporting.
  • Understanding of prompt engineering, RAG pipelines, and modern LLM models.
  • Strong grasp of Project Management fundamentals and SDLC.
  • Exposure to financial markets and commodities (preferred).
  • Familiarity with Agile methodologies (preferred).
Preferred Experience
  • Direct involvement in AI, machine learning, or advanced analytics initiatives.
  • Domain experience in one or more of the following:
  • Commodities Trading (Energy, Metals, Softs, Physicals)
  • Commodity Futures & Options
  • Hedge Funds / Asset Management
  • Quantitative Trading / Finance
  • Trade Finance or Operations
  • Shipping & Logistics
  • Familiarity with electronic trading platforms, risk management systems, or ETRM/CTRM solutions.
  • Experience working in Agile/Scrum environments.
  • Working knowledge of SQL, Python, or BI tools is a plus.
Key Skills
  • Product Management
  • AI Transformation
  • Requirements Elicitation
  • Stakeholder Management
  • Financial & Commodities Domain Knowledge
  • Agile & SDLC
  • Data-Driven Decision Making

Skills Required

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Job Detail

  • Job Id
    JD5142266
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Navi Mumbai, Maharashtra, India
  • Education
    Not mentioned
  • Experience
    Year