Job Description
Job Description
Role Purpose: To lead and manage data projects, ensuring they are completed on time, within budget, and meet the desired objectives.
Key Responsibilities:
Project Planning: Develop detailed project plans, including timelines, milestones, and resource allocation 1.
Team Leadership: Lead and coordinate project teams, ensuring effective communication and collaboration 1.
Risk Management: Identify and manage project-related risks, implementing mitigation strategies as needed 1.
Stakeholder Communication: Maintain regular communication with stakeholders, providing updates on project progress and addressing any concerns 1.
Budget Management: Monitor project budgets, ensuring that expenditures are within approved limits 1.
Quality Assurance: Ensure that project deliverables meet quality standards and comply with relevant regulations 1.
Skills and Experience:
Project Management: Proven experience in managing data projects, with a strong understanding of project management methodologies 1.
Technical Skills: Proficiency in data management tools and technologies, such as SQL, DBT, and Snowflake 1.
Analytical Skills: Strong analytical and problem-solving skills, with the ability to make data-driven decisions 1.
Communication Skills: Excellent communication skills, both written and verbal, to effectively interact with team members and stakeholders 1.
Leadership: Demonstrated leadership abilities, with experience in leading and motivating project teams 1.
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 2.
Product Backlog Management: Create, maintain, and prioritize the product backlog, ensuring a clear and comprehensive view of the product's future 2.
Stakeholder Management: Build strong relationships with stakeholders, gathering feedback and addressing concerns 2.
Collaboration: Work closely with data engineers, data analysts, and other stakeholders to translate business needs into technical requirements 2.
Quality Assurance: Ensure that the data used within the data products is clean, secure, and adheres to company-wide governance policies 2.
Skills and Experience:
Technical Acumen: Strong understanding of the modern data stack and the ability to translate business needs into technical requirements 2.
Strategic Thinking: Ability to set the vision and strategy for data products, ensuring they align with business goals 2.
Communication Skills: Excellent communication skills to interact with stakeholders and ensure the successful development, deployment, and adoption of data products 2.
Leadership: Demonstrated leadership abilities, with experience in managing product development team
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