Product Owner

• Project Planning: Develop detailed project plans, including timelines, milestones, and resource allocation.
• Team Leadership: Lead and coordinate project teams, ensuring effective communication and collaboration.
• Risk Management: Identify and manage project-related risks, implementing mitigation strategies as needed.
• Stakeholder Communication: Maintain regular communication with stakeholders, providing updates on project progress and addressing any concerns.
• Budget Management: Monitor project budgets, ensuring that expenditures are within approved limits.
• Quality Assurance: Ensure that project deliverables meet quality standards and comply with relevant regulations.

Skills and Experience:

• Project Management: Proven experience in managing data projects, with a strong understanding of project management methodologies.
• Technical Skills: Proficiency in data management tools and technologies, such as SQL, DBT, and Snowflake.
• Analytical Skills: Strong analytical and problem-solving skills, with the ability to make data-driven decisions.
• Communication Skills: Excellent communication skills, both written and verbal, to effectively interact with team members and stakeholders.
• Leadership: Demonstrated leadership abilities, with experience in leading and motivating project teams.
• Job Description: Data Product Owner
• Role Purpose: To oversee the development and management of data products, ensuring they align with organizational objectives and deliver tangible value.

Key Responsibilities:

• Product Vision and Strategy: Develop and articulate a compelling product vision and strategy aligned with business objectives.
• Product Backlog Management: Create, maintain, and prioritize the product backlog, ensuring a clear and comprehensive view of the product's future.
• Stakeholder Management: Build strong relationships with stakeholders, gathering feedback and addressing concerns.
• Collaboration: Work closely with data engineers, data analysts, and other stakeholders to translate business needs into technical requirements.
• Quality Assurance: Ensure that the data used within the data products is clean, secure, and adheres to company-wide governance policies.

Skills and Experience:

• Technical Acumen: Strong understanding of the modern data stack and the ability to translate business needs into technical requirements.
• Strategic Thinking: Ability to set the vision and strategy for data products, ensuring they align with business goals.
• Communication Skills: Excellent communication skills to interact with stakeholders and ensure the successful development, deployment, and adoption of data products.
• Leadership: Demonstrated leadership abilities, with experience in managing product development team