Product Owner Digital Data Platform & Engineering
Role details
Job location
Tech stack
Job description
We have an exciting opportunity for you to join our team as a Product Owner Digital Data Platform & Engineering, The Product Owner for our Data Platform & Engineering is a key member of the data organization, specializing in defining the highest standards for our data platform. You will be a link for our product teams end users, analytical teams and enablement teams in translating their business requirements into a well-defined platform & engineering roadmap. Your responsibilities will encompass spearheading the development, standardization and evolvement of the new Azure (Databricks) Platform while we retire our Google Cloud Platform. For this you are overseeing a team of data platform engineers who develop the platform solutions and currently manage our extraction from the departmental source systems. Your contribution to this role will be instrumental to focus our technology capabilities into business solutions what is aiming to guide strategic and tactical business decisions and perform data activation. Some of the responsibilities include:
- Business Needs Translation:
a. Collaborate with stakeholders to understand and translate business needs into a clear and achievable platform roadmap. b. Work closely with other teams to ensure alignment between business objectives and analytics initiatives. Strive for cross-team clarity and holistic storytelling.
- Platform Development:
a. Lead the development and support of the data platform processes, solutions, and guidance framework that provide actionable insights to product teams. b. Oversee the migration effort from Google Cloud Platform into Azure Databricks and perform further standardization and rationalization of the platform components. c. Work with our Infrastructure teams to ensure technical solutions and connectivity can be established d. Bring improvements to the overall data quality standard of our department by looking at platform specific solutions in collaboration with our data governance subject matter experts * Stakeholder Management:
a. Engage in effective stakeholder conversations to gather requirements and ensure a thorough understanding of business goals. b. Regularly communicate progress, challenges, and insights to both technical and non-technical stakeholders. c. Be comfortable pushing back when goals aren't clear, or the use case is not worth the level of effort.
- Prioritization and Project Management:
a. Utilize project management methodologies such as Kanban and Agile to prioritize tasks and ensure timely delivery of analytics solutions. b. Manage the end-to-end process of the data platform, from specific solution conception to delivery. c. Create quarterly roadmaps for stakeholders to measure, report and present the overall value of the data team.
- Requirements Gathering:
a. Work closely with the other Analytical Product Owners to gather detailed requirements for analytics projects, ensuring a comprehensive understanding of user needs. b. Collaborate with technical teams to define data requirements and specifications.
- Guidance and Iteration:
a. Provide guidance to the team during the development process, ensuring that products meet the specified requirements. b. Iterate on data products based on feedback and changing business needs.
- Presentations and Communication:
a. Develop and deliver presentations to communicate complex data concepts and insights to diverse audiences. b. Clearly articulate the value of data and analytics initiatives to non-technical stakeholders.
Requirements
Do you have experience in Project management?, Do you have a Bachelor's degree?, * Bachelor's degree with a strong analytical component, including programming, or equivalent experience and skills.
- 5 + years of relevant experience in Data Platform and Data Engineering or related jobs.
- Proven track record of designing, developing, and supporting Azure data platforms.
- Proficiency in data engineering and data governance to ensure clean secure and compliant data is entering the data platform
- Exceptional communication and collaboration skills coupled with strong business acumen.
- Project management skills with experience in Agile methodologies.
- Ability to prioritize tasks and manage multiple projects simultaneously.
- Familiarity with the fundamentals of Business Intelligence is a plus.
- Basic knowledge of ML / AI concepts is a plus.
Benefits & conditions
- Attractive compensation package
- An independent position with lots of responsibility
- Working in a lean, agile environment
- Training to get you started and on-the-job learning opportunities
- Extensive learning resources to further develop your skills and knowledge
- Tuition Assistance Program (*applicable for FedEx positions with a permanent contract)
- Employee Assistance Program for you and your family in difficult life situations
- Employee reduced-rate shipping
- Great career opportunities
- FedEx is one of the worlds most admired companies and trusted brands year after year
Bring your ideas, individuality, and dreams to our global community. Feel good about where you work. Choose your career path - we're ready to invest in your development. Join FedEx.
FedEx was built on a philosophy that puts people first, one we take seriously. We are an equal opportunity employer and we are committed to a diverse and inclusive workforce in which we provide growth opportunities for all