Job responsibilities
- Develops a product strategy and product vision that delivers value to customers
- Manages discovery efforts and market research to uncover customer solutions and integrate them into the product roadmap
- Owns, maintains, and develops a product backlog that enables development to support the overall strategic roadmap and value proposition
- Builds the framework and tracks the product's key success metrics such as cost, feature and functionality, risk posture, and reliability
- Manage discovery efforts and market research to uncover customer solutions and integrate them into the product roadmap
- Own, maintain, and develop a product backlog that enables development to support the overall strategic roadmap and value proposition
- Establish metrics and KPIs to measure the success of data products and continuously optimize them based on user feedback and data analysis.
- Lead release management and testing lifecycles for feature team/s.
- Lead the team’s efforts to address defects/production issues and reporting requirements.
- Participate in and drive Agile routines and best practices.
Required qualifications, capabilities, and skills
- 5+ years of experience or equivalent expertise in product management or a relevant domain area
- Advanced knowledge of the product development life cycle, design, and data analytics
- Proven ability to lead product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management
- Strong background in data products, proven track record of successfully launching and managing relevant products.
- Strong analytical skills with the ability to interpret complex data sets and translate them into actionable insights.
- Understanding of AI concepts, machine learning models, and relevant tools for building and deploying AI products.
- Excellent communication and presentation skills, with the ability to articulate complex concepts to diverse audiences.
- Proven ability to work collaboratively with technical teams
- Advanced knowledge of the product development life cycle, design, and data analytics
- Proven ability to lead product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management
- Experience working with SaaS (Software as a Service) or Enterprise products.
Preferred qualifications, capabilities, and skills
- Demonstrated prior experience working in a highly matrixed, complex organization
- Experience working in or with Talent Development organizations.
- Knowledge of Oracle HCM (Human Capital Management) and Service Now a plus.
- Knowledge of data governance, consent management and regulatory standards a plus.
- Understanding of talent planning, employee profile data, skills taxonomy and AI-powered talent solutions a plus.