Senior Product Lead - Retail Data & Analytics
Description
As of November 1, 2025, Sunoco LP has successfully completed its acquisition of Parkland Corporation. For more information, please visit www.sunocolp.com.
Competitive Benefits. Meaningful Extras. Unmatched Value.
- A place where you can take your career in the direction you want to grow and go
The Opportunity:
Responsibilities:
Product Ownership & Strategy
- Own the vision, strategy, and roadmap for assigned Retail, Marketing, and Loyalty data products.
- Translate business goals into clear product outcomes, success metrics, and delivery priorities.
- Ensure data products deliver measurable business value aligned to customer growth, engagement, and profitability objectives.
Domain Ownership – Retail, Marketing & Loyalty
- Own global data products supporting:
- Retail operations & merchandising performance.
- Pricing, promotions, and competitive insights.
- Marketing analytics, attribution, and campaign effectiveness.
- Loyalty programs, customer engagement, and fraud monitoring.
- Customer Data Platforms (CDP), segmentation, and activation.
- Act as the primary point of accountability for stakeholder alignment, prioritization, and trade‑off decisions within these domains.
Backlog & Delivery Management
- Maintain a prioritized product backlog aligned to business value, data readiness, and delivery capacity.
- Write clear epics, user stories, and acceptance criteria in collaboration with functional consultants, stakeholders and delivery teams.
- Lead backlog refinement, sprint planning, and release readiness activities.
- Partner with engineering and analytics teams to deliver high‑impact solutions and to ensure technical feasibility, data readiness, and performance considerations are addressed early.
Stakeholder Partnership
- Partner with senior leaders across Retail, Marketing, Loyalty, Digital, and International businesses to shape roadmap priorities.
- Facilitate workshops to clarify requirements, align on outcomes, and manage scope.
- Communicate roadmap progress, risks, and outcomes with clarity and transparency.
Hands‑On Technical Product Ownership
- Work directly in Databricks to explore datasets, validate outputs, and support backlog refinement and acceptance.
- Review and validate SQL, data transformations, and data models to ensure they meet business intent and quality expectations.
- Use Python (e.g., notebooks, lightweight analysis scripts) to explore datasets, validate business logic, assess edge cases, and support acceptance criteria and decision-making.
- Partner closely with Data Engineers and Technical Data Analysts to shape solution design, sequencing, and technical trade‑offs.
- Participate in design discussions related to ETL/ELT pipelines, data modeling, and performance considerations.
- Support testing and validation of data products by reviewing results, edge cases, and reconciliation outputs.
Data Quality, Trust & Governance
- Ensure data products meet enterprise standards for data quality, privacy, security, and governance.
- Partner with Data Governance and Platform teams to embed controls, lineage, and documentation.
- Advocate for trusted, reusable data assets over one‑off solutions.
Measurement & Continuous Improvement
- Define and track KPIs to measure adoption, performance, and business impact of data products.
- Use insights and feedback to continuously refine product scope and delivery approach.
- Support change management and adoption across business teams.
Education:
- Bachelor’s degree in Business, Computer Science, Information Systems, Engineering, or a related field.
Requirements:
- 7+ years of experience in product management or product ownership, with significant experience in data, analytics, or digital products.
- Demonstrated experience owning complex data products end‑to‑end in a matrixed enterprise environment.
- Strong understanding of analytics, AI, data platforms, and modern BI ecosystems.
- Proven ability to work with senior business stakeholders and technical delivery teams.
- Hands‑on experience working with modern data platforms, including Databricks.
- Strong working knowledge of SQL and data modeling concepts as well as familiarity with Python for data analysis and validation.
- Ability to read, understand, and validate ETL/ELT pipelines and data transformations.
- Experience partnering closely with Data Engineers and Technical Data Analysts in an Agile environment (Scrum/Kanban).
- Experience in retail, marketing analytics, loyalty programs, or customer data platforms.
- Familiarity with pricing, promotions, merchandising, or customer engagement analytics.
- Experience supporting international or multi‑brand retail environments.
- Product Management or Agile certifications (CSPO, SAFe PO/PM) considered an asset.
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!
We Want You To Shine:
We are committed to providing equal opportunities to all applicants. If you require accommodation due to a disability, you will have an opportunity to notify us when scheduling your interview.
Belonging Matters. Because You Do:
We are an equal opportunity employer and encourage applications from all qualified individuals. Our ability to work as one team across Canada, the United States, and the Caribbean is foundational to our success. We show up as our authentic selves each day and create space for one another’s unique contributions.
We respect the diverse cultures, traditions, and perspectives of Indigenous Peoples and seek to achieve equitable partnerships and opportunities with Indigenous communities.
The Fine Print:
Candidates must be legally eligible to work in the country in which they applied. Regrettably, we are unable to sponsor employment visas at this time.
Final candidates will be required to undergo a confidential pre-employment background check, including but not limited to educational, criminal, credit, drug and alcohol, and/or fitness for duty testing.
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