Product Manager – Data Science & Engineering (openings at all levels)
***Multiple openings at varying levels***
As a Product Manager with Disney Parks, Experience and Products (DPEP), you will build strategic elements of the Data Product Stack in the form of Epics, backlogs, and roadmaps, enabling the use of data, data science and analytics across Disney’s Parks, Resorts and Consumer Products businesses. You will use your knowledge of data, product management, agile methodologies and frameworks, planning, deep understanding of business domains, and interpersonal skills to develop and prioritize product artifacts (epics, features, hypothesis statements, user stories, etc.) for development by our engineering teams. You will be responsible for ensuring that data products exceed expectations by working closely with business partners, users, and development teams through measurement of key performance indicators.
Our team of product managers is growing and DPEP has openings at all levels, including, junior-to-mid level, senior level, and lead level. We encourage candidates at varying levels to apply and join the excitement! We’re building magic!
Responsibilities :
- Product ownership of the evolution of our data products, serving as a subject matter expert and "voice of the market"
- Responsible for driving the vision, market strategy, design, implementation, and sustainment of data products with leadership and working teams inclusive of Product, Engineering, Testing, and others
- Prioritize, refine, and manage the product backlog (product briefs, epics, features, hypothesis statements, stories, etc.)
- Champion and provide coaching on agile methodology and lean practices among business and technical partners as well as peers
- Work with scrum masters and agile teams to ensure product artifacts meet the definition of ready and definition of done
- Develop and track progress against a product roadmap to build enhancing capabilities over time
- Develop new product ideas and data use cases, and advocate for the use of data and advanced analytics inside and outside the organization
- Define and set clear OKRs for your product to align the team and achieve results
- Define and track key performance indicators (KPIs)
- Define and track value streams and ensure product features are delivering on said value streams
- Understand market needs for the use of data and analytics
- Balance commercial, technical, operational, and strategic issues to inform product improvements
- Manage impediments and problems, resolve issues, and fix broken processes where possible
- Lead change, release planning, and management efforts for projects with key and impacted stakeholders
- Be open to feedback from business partners, teams, and peers; willing to give feedback
- Participate in agile ceremonies; provide coaching where applicable
- Align with other product managers when needed from an overall product, organization, or Guest perspective
- Own business/technical partner relationships and represent business goals/solutions. collaborate cross-functionally to arrive at optimal outcomes for both products and customers.
Basic Qualifications :
- Experienced in all areas of the Product Process in both Strategy and Execution
- Relevant Product Management work experience
- Demonstrated success defining and launching excellent products
- Ability to balance multiple competing priorities while maximizing value
- Experienced across a wide array of SDLC practices such as agile, waterfall, and corresponding frameworks
- Knowledge and experience with data, data science, analytics, and business intelligence
- Ability to define, quantify, drive, and champion value-add product strategies
- Ability to develop and oversee research needed to determine the needs and desires of customers
- Ability to develop deep business expertise and provide thought partnership around the use of data to solve problems and drive improvements
- Ability to perform across multiple phases of development for complex projects, from ideation to deployment
- Experience in project management practices, methodologies, and frameworks
- Passionate about delivering data science and engineering projects and features in a team environment
- Genuine empathy for the customer and a commitment to solving the challenges they present or experience
- Proven ability to influence cross-functional teams without formal authority
- Strong oral and written communication and interpersonal skills, including storytelling, relationship-building, influence, and negotiation.
Preferred Qualifications:
- Certified Scrum Product Owner (CSPO) certification
- SAFe Agilist certified
- Deep understanding of tools such as Jira, Confluence, Slack, Miro, ProductBoard, among others
- Peripheral certifications such as CSM, PMP, CBAP, etc.
Required Education :
- Bachelor's degree in Business, Computer Science, Information Technology, or related field OR equivalent work experience
Additional Information :
DISNEYTECH