Why This Role Stands Out
This hybrid Data Product Manager role offers an exciting opportunity to lead innovative 0-to-1 data product development, shaping strategy and transforming complex business challenges into scalable solutions. You'll thrive here if you have a passion for data, AI/ML, and enjoy collaborating with cross-functional teams to deliver measurable business value and drive product success. Apply now to leverage your product management expertise and contribute to impactful data-driven products.
Quick Overview
Job Description
RESPONSIBILITIES
A Kforce client in the Juno Beach, FL area is looking for a Data Product Manager to lead the lifecycle of data-driven products, with a strong focus on 0-to-1 product development, product discovery, prototyping, and execution. This role will identify business opportunities, define product strategy and roadmaps, and transform complex business challenges into scalable data solutions.
Summary
The Data Product Manager will collaborate with cross-functional stakeholders, engineers, architects, and data teams to develop and launch data products that deliver measurable business value. Responsibilities include leading product discovery sessions, gathering user requirements, creating prototypes and proof-of-concepts, incorporating AI and machine learning capabilities, prioritizing product features, and overseeing product development efforts. The role also includes managing product performance metrics, reporting on business outcomes, and driving user adoption through stakeholder engagement and training.
REQUIREMENTS
- Bachelor's degree in Computer Science, Engineering, Data Science, or a related field (Master's degree preferred)
- 6+ years of product management experience, preferably in data-focused environments
- Proven experience leading 0-to-1 product development, discovery, and product delivery
- Experience developing prototypes, wireframes, mockups, and proof-of-concepts
- Experience collaborating with data scientists, engineers, and business stakeholders
- Experience defining KPIs, measuring product success, and reporting business outcomes
- Strong understanding of data products, analytics, and enterprise data platforms
- Knowledge of AI/ML technologies, generative AI, LLMs, and AI-enabled product capabilities
- Familiarity with data migration and integration tools such as Databricks, AWS Glue, DMS, or similar platforms
- Strong analytical, problem-solving, and data-driven decision-making skills
- Excellent communication, presentation, and stakeholder management skills
- Ability to manage multiple priorities and work effectively in a cross-functional environment
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. By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages.
You will always have the right to cease communicating via text by using key words such as STOP.
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