Data Science Product Owner
2 months ago
At DISH, we're reimagining the future of connectivity. As a Data Science Product Owner, you'll play a crucial role in driving the development of data-driven products that align with business objectives and stakeholder needs.
Key Responsibilities:- Collaborate with cross-functional teams to deliver high-quality solutions that address business needs
- Develop and maintain product roadmaps, release plans, and iteration plans that synchronize with business goals and stakeholder requirements
- Communicate product strategies, progress updates, and outcomes to stakeholders, including executives, clients, and team members
- Facilitate sprint planning sessions, ensuring the team is aligned with priority tasks, and conduct regular demos to showcase progress to stakeholders
- Take ownership of backlog items, driving them to completion and effectively managing associated risks akin to a project manager's responsibilities
- Ensure timely delivery of products within budgetary constraints and in accordance with quality standards
- Bachelor's degree in computer science, Information Systems, or a related field
- 6+ years of experience in a product ownership capacity, focusing on data science & analytics
- Exceptional communication, interpersonal, and stakeholder management abilities
- Familiarity with data science and engineering concepts, including ML
- Proficiency in agile methodologies such as Scrum or Kanban
- Hands-on experience with project management tools like Jira
- Experience with cloud stack (AWS, GCP or Azure)
- Certification in agile methodologies such as Certified Scrum Product Owner (CSPO)
- Advanced degree (Master's or higher) in computer science, Information Systems, or a related field
$96,250.00/Year - $158,125.00/Year
Benefits:We offer versatile health perks, including flexible spending accounts, HSA, a 401(k) Plan with company match, ESPP, career opportunities, and a flexible time away plan.
Individual total compensation will vary based on factors such as qualifications, skill level, and competencies; compensation is based on the role's location and is subject to change based on work location.
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