Data Product Manager Jobs (NOW HIRING)

RESPONSIBILITIES:
Kforce has a client that is seeking a Principal Data Product Manager in Juno Beach, FL.
Summary:
The Principal Data Product Manager is responsible for leading the lifecycle of data-centric products, focusing on product discovery to ensure alignment with user needs and business value.
Key Responsibilities:
Product Strategy and Vision:
* Define data product strategy and vision aligned with EDP goals
* Develop a product roadmap that evolves with changing user needs
* Identify Enterprise Data opportunities and user needs through research and analysis
Product Discovery:
* Conduct design sessions with business unit stakeholders to ideate and yield draft product requirements
* Conduct user interviews and surveys to gather insights and validate product concepts
* Develop mockups and conduct usability testing
* Engage in competitive analysis to identify differentiation opportunities
* Utilize data-driven techniques to uncover emerging trends and inform discovery
Product Development and Tech Oversight:
* Partner with engineering, solution architects, and business unit stakeholders to translate discovery insights into product features
* Prioritize features and functionalities based on business impact and technical feasibility
Stakeholder Management:
* Engage with stakeholders across the organization to gather requirements and communicate product status
* Advocate for product within the company and ensure alignment with business objectives
* Provide training and support for users and stakeholders to maximize product adoption
Data Analysis and Insights:
* Utilize data analysis tools to derive insights and inform product decisions
* Ensure the accuracy and quality of data within products
Performance Metrics and Reporting:
* Define and monitor KPIs to assess product performance and return on investment (e.g., product-level Profit and Loss forecasting and analysis)
* Manage budget for product development and ensure optimal resource allocation
REQUIREMENTS:
* Bachelor's degree in Computer Science, Engineering, Data Science, or related analytical field
* Master's degree in an Analytical field
* Experience in product management, with a focus on data products and discovery
* Strong technical background with an understanding of data technologies and tools
* Excellent communication skills and ability to work cross-functionally
* Proficiency in data analysis, data warehousing, and other data software architecture considerations
* Software development experience (e.g., knowledge of ETL processes, CI/CD workflows, alerts, and error handling)
* Understanding of product lifecycle management
* Experience with data visualization and reporting tools
* Strong skills in product discovery, user research, and prototype testing
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
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