The Role
Owns enterprise data governance, stewardship, quality, lineage, master data, and metadata across operational and analytical systems. Maps data flows, identifies root causes, establishes governance standards, maintains business glossaries, and governs customer, location, and product master data. The role defines quality metrics, supports forecasting data readiness, quantifies business impacts, and partners with engineering, analytics, business leaders, and compliance stakeholders to drive remediation and adoption.
Summary Generated by Built In
Position: Enterprise Data Steward
Location: Calgary, AB
About the Role
We are seeking an experienced Enterprise Data Steward (Data Governance / Data Stewardship) to bring structure, ownership, and quality to enterprise data across our operational, planning, and analytical platforms.
This role looks across the whole data landscape, from operational source systems through ETL pipelines to planning, forecasting, and reporting, to find where data breaks, why it breaks, and how to fix it at the source. You will design practical, enterprise-wide governance and turn it into repeatable steps the business actually follows.
You will work closely with Data Engineering, Data Science, Business Intelligence, and business leaders, and you will connect every data issue to its business impact, such as inventory accuracy, forecast quality, service levels, and cost.
What You'll Do
Enterprise Data Landscape & Pipelines
· Map the end-to-end flow of data from source systems (e.g. Right Angle, FRMS, and manually maintained spreadsheets) through pipelines to planning, forecasting, and reporting tools.
· Identify systemic failure points in the data flow and drive fixes at the source rather than downstream workarounds.
· Work with Data Engineering to document data lineage and data movement between source systems, ETL pipelines, and downstream applications.
· Move business-critical data out of manually maintained and secured spreadsheets into controlled, auditable pipelines.
Data Governance & Stewardship
· Design and own the enterprise data governance framework, including standards, policies, roles, decision rights, and escalation paths.
· Define critical data elements, business definitions, and data ownership; identify and coach business data owners.
· Set up and run a cross-functional data governance forum to prioritize issues and agree on standards.
· Build a governance roadmap with measurable outcomes and report progress to senior leadership.
· Maintain data dictionaries, business glossaries, and metadata repositories.
Master Data & Data Quality
· Own entity and alias mapping across systems so each customer, site, location, and product resolves to a single trusted record.
· Build and govern a location master (sites, terminals, delivery points) as the single source of truth, including address and geospatial accuracy.
· Define data quality rules and KPIs covering accuracy, completeness, consistency, validity, timeliness, and uniqueness, and monitor them across platforms.
· Investigate, track, and resolve data quality issues through root cause analysis and corrective action with Data Engineering and business teams.
· Set data-readiness standards for demand forecasting and optimization models, including history completeness, outlier handling, and consistent hierarchies.
Business Partnership & Compliance
· Quantify the business cost of poor data and prioritize remediation by its impact on inventory, forecast accuracy, service, and cost.
· Translate business needs into clear governance rules, definitions, and quality standards.
· Communicate data risks, governance gaps, and remediation progress to business and technical stakeholders, including senior leaders.
· Ensure data practices align with security, privacy, and regulatory requirements, and support audits and compliance reviews.
What You'll Need
Required Qualifications
· 7+ years in data governance, data stewardship, data quality, master data management, or a related data role.
· Experience designing and rolling out a data governance framework or program across multiple systems or business units, not only maintaining an existing one.
· Strong business acumen: able to understand operational and planning processes and link data problems to business outcomes.
· Hands-on master data management experience for customer, location, or product domains, including entity resolution and alias/cross-reference mapping.
· Strong SQL skills for data profiling, reconciliation, validation, and root cause analysis.
· Solid understanding of ETL/data integration, data warehouses, and how data flows from operational systems to analytics.
· Excellent communication skills, with confidence presenting to senior stakeholders and influencing without direct authority.
Preferred Qualifications
· Background in supply chain, logistics, inventory planning, or downstream energy/fuel distribution.
· Experience with data used by forecasting, optimization, or AI/ML models.
· Familiarity with operational or commodity systems such as Right Angle.
· Experience with geospatial or location data quality.
· Familiarity with cloud data platforms (Azure, AWS, Snowflake, Databricks) and governance/catalog tools (Collibra, Informatica, Microsoft Purview, Alation).
Skills Required
- 7+ years in data governance, data stewardship, data quality, master data management, or a related data role
- Experience designing and rolling out a data governance framework or program across multiple systems or business units
- Strong business acumen connecting data problems to operational and planning outcomes
- Hands-on master data management experience for customer, location, or product domains, including entity resolution and alias or cross-reference mapping
- Strong SQL skills for data profiling, reconciliation, validation, and root cause analysis
- Understanding of ETL, data integration, data warehouses, and data flows from operational systems to analytics
- Excellent communication skills and ability to present to senior stakeholders and influence without direct authority
- Background in supply chain, logistics, inventory planning, or downstream energy or fuel distribution
- Experience with data used by forecasting, optimization, or AI/ML models
- Familiarity with operational or commodity systems such as Right Angle
- Experience with geospatial or location data quality
- Familiarity with Azure, AWS, Snowflake, Databricks, Collibra, Informatica, Microsoft Purview, or Alation
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
@TechBlocks we power the software defined industries (SDI) of today and tomorrow. We are a software engineering and consulting firm. We build modern digital value chains and businesses reimagined to create frictionless experiences for innovative monetization methods and drive unforeseen efficiencies. We are known to build world class custom platforms and products that are cloud native for some of the worlds largest brands. We are the go to technology partners for born in digital businesses that grew with us from "Concept to Commercialization" and have revenues between $100M - $10B. We help modern businesses transition just from a technology outsourcing mentality to help create globally distributed digital COEs and mature them. Our converged COEs that we create in partnership with our clients help power software factories that are extremely dynamic. We have created modern digital COEs and factories that are created with a single minded goal to future proof our clients businesses. Everything we do is centred around two philosophies and practices - Design Thinking and Lean Engineering. Whether it is building digital commerce platforms, marketplace for worlds largest retailers or smart utilities applications and products or digital health products/platforms that power wearables, patches or devices across healthcare landscape; we do it all with speed and sophistication that is unmatched in the industry
