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Data Monetization Product Manager Job in @ Accenture

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Job Description

    Job Title - Data Monetization Product Manager Management Level: 7-Manager Location: Bengaluru, BDC14A Must-have skills: Data Monetization Good to have skills: AI Job Summary: Identify AI use cases in an industry and/or function by understanding an organizations goals and areas of need, developing the business case, determining ROI, and creating the transformation roadmap Roles & Responsibilities: - Identify AI use cases in an industry and/or function by understanding an organizations goals and areas of need, developing the business case, determining ROI, and creating the transformation roadmap. - Understand and document as-is processes and current landscape, define functional and non-functional specifications, and re-invent future process with AI. - Develop AI solutions leveraging domain expertise through feature extraction, algorithm selection, and model validation. - Advise organization on adoption of responsible AI solutions and governance by training users on new processes, maintaining solutions, tracking results, and communicating the realized value. - Job Description for Data Monetization Product Manager - Senior Manager (Level 6) Position Title: Data Monetization Product Manager Location: Bangalore/Gurgaon/Mumbai Employment Type: Full Time Must have skills Data Monetization, Data Product Management Good to have skills Data Governance, Data Product Build, Stakeholder Engagement, Business Case Development, Go-to-Market Strategy Job Summary As a Data Monetization Product Manager, you will spearhead the end-to-end development of data products designed to unlock revenue opportunities. - From ideation and prioritization to prototype build and go-to-market strategy, your role is to ensure that data assets are leveraged effectively and in compliance with governance policies. - You will collaborate with cross-functional teamsincluding legal, technical, and business stakeholdersto define success criteria, expand data usage rights, and bring compelling data offerings to market. - Roles & Responsibilities 1. - Stakeholder Engagement & Requirements Definition a. - Collaborate with subject matter experts (SMEs), data owners, and internal product owners to gather insights on potential use cases and monetization strategies. - b. - Define clear requirements, objectives, and success metrics for a demoable monetization prototype that aligns with overall business goals. - 2. - Use Case & Asset Evaluation a. - Identify and assess high-potential data assets for monetization, balancing strategic relevance with feasibility and compliance considerations. - b. - Prioritize use cases based on market trends, revenue potential, and organizational readiness. - 3. - Data Usage Rights & Governance Alignment a. - Work closely with permissibility standards resources and data governance teams to push for expanded usage rights. - b. - Ensure all data product development adheres to ADGO governance policies and procedures, including ingestion into catalogs, data quality rules, and access controls. - 4. - Product Development & Prototyping a. - Lead a dedicated pod of build resources (developers, data engineers, etc.) to design and develop prototype data products. - b. - Oversee product milestones, sprint planning, and iterative testing to validate features against user and market requirements. - 5. - Go-to-Market Strategy & Execution a. - Partner with GTM teams to define pricing models, positioning, and. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture,

Employement Category:

Employement Type: Full time
Industry: IT Services & Consulting
Role Category: Not Specified
Functional Area: Not Specified
Role/Responsibilies: Data Monetization Product Manager Job in

Contact Details:

Company: Accenture
Location(s): Other Karnataka

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Keyskills:   Data Monetization Data Governance Stakeholder Engagement Business Case Development AI

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