parkland
Senior Product Lead - Supply & Operations Data & Analytics
At a Glance
- Location
- Calgary, Alberta, Canada
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\u2011to\u2011end 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\u2011on 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.
Compensation & Benefits
A place where you can take your career in the direction you want to grow and go
Responsibilities
The Senior Product Lead Supply & Operations Data & Analytics is accountable for the end\u2011to\u2011end ownership of data products that enable supply chain optimization, trading insights, operational performance, and enterprise decision\u2011making.
This role partners closely with Supply & Trading, Transportation, Health & Safety, Finance, Commercial, and Enterprise Operations stakeholders.
As a senior individual contributor, this role owns product vision, backlog prioritization, and delivery outcomes across advanced analytics, optimization engines, operational reporting, and cross\u2011system data integrations.
The Product Lead ensures data products are scalable, trusted, and aligned to enterprise data strategy while enabling complex operational decision\u2011making.
This role is hands\u2011on and requires the ability to work directly with data in Databricks, review SQL\u2011based transformations and data models, and partner closely with Data Engineers and Technical Data Analysts on solution design and delivery.
The Senior Product Lead is expected to engage directly with data, understand technical implementation details, and actively shape solutions alongside engineering and analytics partners.