As a liaison to the Data Engineering team, you will be responsible for defining user stories, prioritizing the team backlog, and validating that the team's work meets its intended purpose. This person will work closely with the product manager and business stakeholders to ensure that we are building the right things at the right time.
A successful candidate in this role will have exceptional organizational skills, strong empathy for end users, and the ability to translate a vision into tangible pieces of work. They must have experience working with software/data engineers and the ability to empathize with the challenges the team faces. Experience working on an enterprise level data transformation strategy would help this individual be successful on this team.
The team is responsible for transforming the business into an "Insights Driven Organization." We are doing that by building a world class technical platform, a world class data engineering team, and helping the business think about data differently. This role will play a key role in all the aspects outlined above!
Essential Functions
- Collaborate with product management, the agile team, release train engineer (RTE), and shared services to deliver product features and functionality that meet or exceed customer needs and business goals.
- Think strategically about how the teams work will help deliver on our data and analytics roadmap
- Participate in program increment (PI) planning to help the agile team break down features, define objectives for the PI, negotiate with others, and communicate the team's plan.
- Identify, write, and prioritize user stories and bugs needed to incrementally deliver value to users. Stories may cover new work, changes to existing work, and responding to problems that arise from solutions in the production environment.
- Collaborate daily with cross-functional teams to solve problems, provide feedback, and accept completed work.
- Prepare and participate in team level PI planning, iteration planning, backlog refinement, demos, and retrospectives.
Requirements Skills/Experiences:
- 2+ years of business or systems analysis experience required
- 2+ years of product owner experience preferred
- 1+ years of using lean and/or agile approaches to develop solutions preferred
- Experience working directly on or with a software or data engineering team
- Excellent listening and communication skills both written and verbal; comfortable speaking in front of large groups is a plus
- Able to prioritize work by thinking holistically to consider customer and enterprise needs, not just team needs
- Able to decompose complex features into user stories that can be completed in a few days
- Able to tell a story and help the team demonstrate its results, even when the solution may not have a user interface
- Self-directed and takes initiative to solve problems in a collaborative and time effective manner
- Ability to adapt deliverables and plans as priorities shift
- Ability to juggle multiple initiatives in a dynamic, highly collaborative environment
Desired Skills/Experiences:
- Experience working on/with a data engineering, data science, or data analytics team would be a bonus
- Software development experience paired with stellar business acumen
- Experienced using the Scaled Agile Framework (SAFe) is a plus
