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Manager Data Product Owner Jobs in Florida (NOW HIRING)

Inizio Partners

Data Product Owner

Tampa, FL · On-site

Proficiency in managing complex data projects, prioritizing tasks, and meeting deadlines. Experience with agile methodologies and tools like Jira is essential. * Familiarity with data governance ...

Programmers.io

Data Governance Product Owner

Tampa, FL · On-site

We are seeking a seasoned Data Governance Product Owner to lead strategy, roadmap, and delivery of ... Execution & Delivery · Manage and prioritize the product backlog , ensuring clarity and alignment ...

1 point system

Product Owner

Doral, FL · On-site

$75/hr

W2 MUST HAVE AI EXPERIENCE Professional Experience * 5+ years of experience as a Product Owner/Business Analyst in a data centric environment. * Must be very comfortable with agile processes and ...

Tata Consultancy Service Limited

Product Owner

Tampa, FL · On-site

$100K - $120K/yr

... IT, the Product Owner will be responsible for actively engaging with Business stakeholders to ... in Data and Analytics particularly BI space. • Highly organized with the ability to manage ...

ClearlyAgile

Product Owner

Tampa, FL · On-site +1

What you'll be doing is functioning as a Product Owner, Business Analyst, and/or Proxy PO to ... Back it up with examples, case studies, and data points. Lead by example. * Teamwork - Be ...

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Manager Data Product Owner information

What is the difference between Manager Data Product Owner vs Data Analyst?

AspectManager Data Product OwnerData Analyst
CredentialsTypically requires experience in product management, data management, and certifications like Certified Scrum Product Owner (CSPO)Usually holds a degree in data science, statistics, or related fields; certifications like Microsoft Certified Data Analyst are common
Work EnvironmentLeads cross-functional teams, manages product lifecycle, collaborates with stakeholdersAnalyzes data sets, creates reports, supports decision-making through data insights
Employer & Industry UsageUsed in tech, finance, healthcare industries focusing on data products and solutionsCommon across industries for data-driven decision support

The Manager Data Product Owner focuses on managing data products, aligning them with business goals, and leading teams. In contrast, a Data Analyst primarily interprets data to generate insights. Both roles require strong data skills but differ in scope and responsibilities.

What are the most commonly searched types of Data Product Owner jobs in Florida?

The most popular types of Data Product Owner jobs in Florida are:

Manager Data Product Owner jobs near you

Data Product Owner

Inizio Partners

Tampa, FL • On-site

Full-time

Re-posted 13 days ago

Job description

Responsibilities:

  • Strong understanding of data architecture, modeling, and the ability to work closely with data engineers to oversee the development of data solutions.
  • Expertise in identifying business needs and translating them into technical requirements for data processing and analytics.
  • Proficiency in managing complex data projects, prioritizing tasks, and meeting deadlines. Experience with agile methodologies and tools like Jira is essential.
  • Familiarity with data governance principles and practices to ensure that the data strategies align with legal and business standards.
  • Ability to communicate effectively with stakeholders including Business Partners, and technical teams to ensure clarity and alignment on objectives.
  • Strong analytical skills to troubleshoot and resolve data-related issues, optimizing data flows and quality.
  • Hands-on experience with SQL, data warehousing solutions, ETL processes, and PySpark
  • Understanding of the industry and how data-driven insights can drive business strategies and decisions.
  • Ability to lead and inspire teams, acting as a liaison between technical and non-technical stakeholders.
  • Knowledge of data quality assurance practices to oversee the testing and validation of data solutions.
  • The capacity to adapt to new challenges and changes in the business environment or technology landscape.

Qualifications:

  • Bachelors degree in a quantitative field such as Computer Science, Data Science, or equivalent work experience; masters degree preferred.
  • Insurance experience is highly preferred.
  • Solid foundation in data structures, algorithms, and system design.
  • Experience with modern data storage, messaging, and processing tools (e.g., SQL, NoSQL, Kafka, Redis), and cloud services (e.g., Azure, AWS).
  • Proficiency in one or more programming languages relevant to data engineering, such as Python, Java, or Scala.
  • Strong interpersonal skills with the ability to convey complex data concepts to non-technical stakeholders.

Location: This candidate can be based anywhere in Florida or Canada. 

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