Senior Manager, Data & Analytics Platform

• Lead the scalability reliability and continuous evolution of the enterprise data platformincluding pipelines integration patterns data models and cloud infrastructureto deliver a predictable high-quality data factory for all consumption needs
• Own the platforms technical architecture direction in partnership with the Data Platform Architect defining standards for data modelling semantic layers ingestion patterns access controls and platform security
• Establish and maintain a structured portfolio delivery model including intake triage estimation resource planning multi-quarter roadmaps and risk managementbalancing immediate demand with long-term platform investment
• Introduce SLA/SLO frameworks incident response standards and performance monitoring operating models that create accountability and trust with consuming teams
• Ensure platform data assets are discoverable well-documented and structurally soundwith clear lineage quality thresholds and metadata cataloguingso data is trustworthy and ready for analytics reporting and AI consumption
• Define and deliver services to analytics and Power BI teams including curated data products semantic layers certified datasets and self-service access patterns with clear onboarding and support models
• Engage senior leaders operating group BI teams and Reporting & Analytics CoE stakeholders to understand data needs surface capability gaps and shape platform investment priorities
• Build and refine enterprise standards for Power BI usage semantic modelling and report governance; provide indirect leadership to BI developers across operating groups
• Lead end-to-end onboarding of new data domains including stakeholder scoping integration design data quality baselining and acceptance criteria
• Partner with the Senior Business Partner Data Governance to operationalize governance policiestranslating stewardship requirements data classification standards and compliance obligations into engineering patterns and team practices
• Maintain and continuously improve data quality scoring observability tooling and anomaly detection capabilities
• Build and sustain senior-level relationships with Operating Group VPs Shared Services leaders and CoE stakeholders; communicate delivery progress and platform value through dashboards status reporting and executive narratives
• Participate in enterprise data strategy AI readiness planning and data governance forums contributing the platforms perspective on data maturity and technical feasibility
• Lead coach and develop a multi-disciplinary team of data engineers architects analytics engineers and project managers; manage vendor and consulting partner relationships

• Bachelors degree in Business Information Systems Management Business Data or a related field; Masters degree preferred
• 10 years of experience leading delivery portfolios in data analytics or complex technology environments
• Demonstrated experience scaling delivery processes and operating models in a shared services or enterprise IS environment
• Experience onboarding complex data domains requiring negotiation change management and cross-functional alignment
• Strong understanding of data engineering BI/reporting and data product development lifecycles
• Knowledge of governance principles and their operationalization into delivery practices
• Familiarity with AI/ML data readiness conceptsincluding data quality lineage cataloguing and feature engineeringsufficient to evaluate platform gaps and prepare data assets for AI/ML consumption
• Experience with modern data stack tooling: cloud data platforms (Azure Snowflake Databricks) metadata and cataloguing tools (Purview Collibra Alation) and data observability frameworks
• Strong communication facilitation prioritization and risk management skills; ability to lead teams through ambiguity and dynamic change
• PMP Agile/Scrum or CDMP certification is an asset
• Experience managing budgets up to $2M annually

• Hybrid work model home and office based
• Travel required on occasion (<25% of the time)
• Directly leads a team of approximately 10 with indirect oversight of an additional 4

Compensation

This is the expected base pay range for this role. Individual base pay will be determined based on a variety of factors including experience knowledge skills education and location.

Our competitive total rewards package provides compensation and benefits that support your physical mental and financial wellbeing. We offer exciting challenging work with opportunities to develop your skills and knowledge.

Additional Information

Our workplace culture has been recognized as one of Canadas Best Diversity Employers Canadas Most Admired Corporate Cultures and a Top 100 Inspiring Workplace in North America.

Employment Equity

At Ledcor we believe diversity equity and inclusion should be part of everything we do. We are proud to be an equal-opportunity employer. All qualified individuals regardless of race color religion sex national origin sexual orientation age citizenship marital status disability gender identity Veteran status or any other identifying characteristic are encouraged to apply.

Our True Blue team consists of individuals from all backgrounds who contribute diverse perspectives and experiences to Ledcor. We are committed to continuing to build on our culture of empowerment inclusion and belonging.

Adjustments will be provided in all parts of our hiring process. Applicants need to make their needs known in advance by submitting a request via email. For more information about Ledcors Inclusion and Diversity initiatives please visit our I&D page.