29 Product Ownership Jobs - Page 2

Job Description Responsibilities Document high-level requirements, acceptance criteria and KPI’s that push the product strategy forward and achieve key objectives Maintain epics and user stories, work with the team for prioritizing, grooming and provide clarity and direction to the development team Excellent stakeholder management skills and good communication skills Communicate across the organization to ensure alignment and clarity of what is being developed and why Assist in creating a strategy behind the why, when, and what (and what not) for the product Guide product teams with diverse range of skill sets, locations and direct and in-direct reporting relationships Make data-informed decisions based on a sound understanding of organizational priorities, Voice of Customer, analytics, benchmarks, industry reporting and emerging trends Skills needed 8-10 years of end-to-end product management skills Strong experience in product discovery/ requirement gathering. Strong domain expertise in pharmaceutical/ manufacturing/ supply chain and good technical understanding of Data metrics. Detail-oriented, unfazed by technical detail, committed to flawless execution. Excellent communication and stakeholder management skills Solid track record of having shipped products & features in an agile, fast paced environment. Ability to participate in technical discussions and help make technical trade-offs. Excellent verbal and written communication skills and ability to convey a product strategy to partners and senior leaders.

Job Description What You Will Do As a Manager, Data Products, you will be responsible for leading the development and deployment of data-driven products powered by digital, artificial intelligence and analytics technologies. You will work closely with cross-functional teams, including data scientists, software engineers, product managers, and business stakeholders to define product vision, strategy, and execution. Responsibilities: Product Vision and Strategy: Collaborate with stakeholders to define the product vision, goals, and roadmap for Digital, Data and AI products that align with business objectives. Requirements Gathering: Work closely with business units to understand their needs and translate them into clear and actionable product requirements. Data Management: Oversee data collection, storage, and preprocessing to ensure data quality and availability for training and model deployment. Machine Learning Models: Coordinate with data scientists and ML engineers to design, develop, and deploy machine learning models that power AI data products. Product Development: Lead the end-to-end product development process, including design, development, testing, and deployment of AI data products. User Experience: Collaborate with user experience (UX) designers to create intuitive and user-friendly interfaces for AI data products. Performance Monitoring: Establish metrics and tracking mechanisms to measure the performance and impact of AI data products. Product Iteration and Improvement: Continuously iterate and improve data products based on user feedback and performance insights. Market Analysis: Conduct market research and competitive analysis to identify opportunities and stay abreast of industry trends. Risk Management: Identify potential risks and challenges related to data and AI products and develop mitigation plans. Key Responsibilities Main accountabilities includes: • Define the data product vision and roadmap •Ensure the data product meets the needs of the business and monetize for business impact• Manage the data product development lifecycle •Work with stakeholders to gather requirements. • Define the data product's technical architecture •Manage the data product's quality• Launch and monitor the data product •Providing training on the data product to users• Marketing the data product to potential users• Working with the data science team to develop new features for the data product• Managing the data product's budget• Define and Implement the data product marketplace to drive user adoption and experience What We Are Looking For Required Qualifications Typically requires a minimum of 8 years of related experiences with a Bachelor's degree; or a Master degree; or a PhD with 5 years of experiences in the field of Technology, Computer/Software Engineering, Data Science, Applied Mathematics, Statistics etc. 3+ years of experience working in CPG/Retail industry and sound knowledge in business/data domains related to Customer, Product, Consumer, Finance etc. Proven experience in product management or product owner, preferably with a focus on data-driven products like data platform and AI technologies. Familiarity with machine learning concepts, algorithms, and model deployment. Strong project management skills, stakeholder management skills and the ability to lead cross-functional teams. Proficiency in data analysis, visualization, and data-driven decision-making. Excellent communication and presentation skills to effectively convey complex technical concepts to non-technical stakeholders. Understanding of data privacy and security considerations in AI product development. Experience with Agile development methodologies is a plus. Experience working in Data Governance, Metadata Management, Data Catalog and Business Glossary. Desired Qualifications Conversant with Python, SQL Preferably from Retail or CPG industry

Responsibilities Emphasis on Prioritization, clarity, and backlog management Analyze team performance and optimization Facilitate communication with development team and stakeholders to ensure alignment Plan and facilitate sprints, standups, reviews, and retrospectives Create user stories and acceptance criteria Continuous product improvement Stay up to date with market trends, competitor analysis, and customer feedback Translate market insights into actionable items Removes any impediments or blockers for team Qualifications Excellent verbal and written communication Ability to collaborate with cross-functional teams across different time zones Strong analytical and problem-solving skills Strong understanding of SDLC Knowledge and experience working in a Cloud / DevOps environment Excellent critical thinking, judgement and creative problem-solving skills. Comfortable navigating a high degree of change and/or ambiguity to drive clear paths for execution at the strategic and tactical level.

We are looking for immediate joiners who can join within 0-15 days Job Description: Product Owner/Business Analyst Position: Product Owner/Business Analyst Experience: 15+ Years Location: Bangalore Employment Type: Full-Time Must have experience in Private Equity/Private Credit. Summary: We are seeking an experienced Product Owner/Business Analyst with 15+ years of expertise in Private Credit, Private Equity, Fund Management, Investor Relations, Commitments, and Deals. The candidate will work closely with stakeholders to manage product development, streamline processes, and ensure successful project delivery in the alternative investment space. Key Responsibilities: Lead product development for solutions related to Private Credit, Private Equity, and Fund Management. Define and prioritize product features and roadmaps based on business needs and stakeholder feedback. Ensure alignment between product vision and business objectives. Conduct detailed business analysis to understand requirements for fund commitments, investor relations, and deal processes. Collaborate with investment teams to gather insights on deal flow, fund performance, and investor communication. Develop clear business requirements, user stories, and use cases to guide development teams. Work closely with investors, fund managers, and internal stakeholders to understand needs and provide tailored solutions. Facilitate communication between business units and technical teams to ensure alignment on priorities. Analyze and optimize existing workflows related to fund administration, commitments, and deal tracking. Identify opportunities for automation and efficiency improvements in fund management processes. Lead cross-functional teams through all stages of the product lifecycle, from concept to delivery. Ensure timely delivery of projects within scope and budget, adhering to Agile/Scrum methodologies. Required Skills & Qualifications: 15+ years of experience in Private Credit, Private Equity, Funds, Commitments, Investor Relations, and Deals. Proven experience in product ownership and business analysis in the financial services or asset management sector. Strong understanding of fund structures, investor commitments, deal lifecycle, and fund reporting. Excellent stakeholder management and communication skills. Preferred Skills: Experience with financial technology platforms and data management. Strong analytical skills with the ability to translate business needs into technical requirements. Knowledge of regulatory and compliance requirements in private investments. Education: Bachelors or Masters degree in Finance, Business, or related field