Product Owner, Data

at  Parkland Corporation

COMPETITIVE BENEFITS. MEANINGFUL EXTRAS. UNMATCHED VALUE.

• A place where you can take your career in the direction you want to grow and go
• Save on gas at stations across Canada, including Chevron, Fas Gas, Ultramar, and Pioneer

EDUCATION:

• Bachelor’s degree in Computer Science, Information Systems, Business Administration, or related field.

REQUIREMENTS:

• Proven experience (5+ years) in product management or product ownership roles, preferably in data-driven organizations or technology companies.
• Strong understanding of data management concepts, including data modeling, ETL processes, data warehousing, and data analytics.
• Proficiency in Agile methodologies and tools (e.g., Scrum, Kanban, JIRA) for product development and project management.
• Excellent communication and interpersonal skills, with the ability to effectively collaborate with stakeholders at all levels of the organization.
• Analytical mindset with the ability to translate complex business requirements into technical specifications and vice versa.
• Experience with data visualization tools (e.g., Tableau, Power BI) and data querying languages (e.g., SQL) preferred.
• Demonstrated leadership abilities, including decision-making, problem-solving, and conflict resolution skills.
• Strong organizational skills with the ability to manage multiple priorities and deliverables in a fast-paced environment.
• Commitment to continuous learning and professional development in the field of data management and product ownership.
  Humble. Hungry. Smart. Does this sound like you?
  Do others describe you as being a down-to-earth achiever? Someone who thinks outside the box and always strives to do more than what is required. Someone who sees the bigger picture? You sound brilliant to work with!

Requirements Management

• Gather, prioritize, and document business requirements for data products, ensuring alignment with strategic goals.
• Translate the data product strategy into actionable tasks and work with cross-functional agile teams to execute those requirements.
• Collaborate with stakeholders to define clear and actionable requirements, including user stories and acceptance criteria

Business Strategy and Operations Knowledge

• Understand the organization’s business strategy and operations to align data product development with overarching goals.
• Collaborate with business leaders to identify opportunities where data products can drive efficiency, revenue growth, or cost savings

Product Vision and Strategy

• Define and communicate the long-term vision and strategic direction for data products.
• Conduct market research and analysis to identify emerging trends and opportunities for product innovation.

Requirements Management

• Gather, prioritize, and document business requirements for data products, ensuring alignment with strategic goals.
• Translate the data product strategy into actionable tasks and work with cross-functional agile teams to execute those requirements.
• Collaborate with stakeholders to define clear and actionable requirements, including user stories and acceptance criteria.

Business Strategy and Operations Knowledge

• Understand the organization’s business strategy and operations to align data product development with overarching goals.
• Collaborate with business leaders to identify opportunities where data products can drive efficiency, revenue growth, or cost savings.

Stakeholder Collaboration

• Facilitate workshops and meetings with cross-functional teams to gather insights and validate requirements.
• Build strong relationships with stakeholders to foster collaboration and ensure alignment throughout the product lifecycle.

Product Development

• Lead Agile development processes, including sprint planning, backlog grooming, and sprint review sessions.
• Work closely with development teams to ensure timely delivery of high-quality data products that meet stakeholder expectations.
• Promotes data products to internal and external stakeholders, showcasing their value and capabilities.
• Engage with data marketplace platforms to facilitate the exchange of data products within the organization or with external partners.

Quality Assurance

• Ensure Technical BA’s define and implement robust testing strategies and acceptance criteria to ensure the quality and reliability of data products.
• Ensure BA’s conduct thorough testing and validation of data products to identify and address any issues or defects.

Performance Monitoring

• Establish key performance indicators (KPIs) and metrics to monitor the performance and usage of data products.
• Analyze performance data and user feedback to identify opportunities for optimization and enhancement.

Risk Management

• Identify potential risks and issues related to data product development and deployment, proactively mitigating risks.
• Escalate critical issues to leadership and collaborate with stakeholders to develop appropriate risk mitigation strategies.

Change Management

• Develop and execute change management plans to facilitate the adoption and integration of data products within the organization.

Stakeholder Interaction

• Engage with key stakeholders, contributing to discussions with business executives, IT leadership, and external partners to understand business needs and communicate concepts effectively.

Compliance and Governance

• Ensure compliance with data privacy regulations, industry standards, and internal policies throughout the product lifecycle.
• Implement robust data security and governance measures to protect sensitive information and mitigate risks.