Senior Manager, Data & Analytics Platform

Requirements

• Bachelor's degree in Business, Information Systems Management, Business Data, or a related field; Master's 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 concepts-including data quality, lineage, cataloguing, and feature engineering-sufficient 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 bu

Additional Information

Ledcor is hiring a Senior Manager, Data & Analytics Platform to provide senior leadership for the planning, execution, and continuous evolution of our enterprise data and analytics delivery portfolio. Reporting to the Senior Director, Enterprise Services & Experience, you will ensure Ledcor's data factory-including platform operations, data pipelines, data products, and analytics and BI enablement-is scalable, predictable, and aligned to organizational needs. You will own the architecture, integration patterns, delivery processes, and team capabilities required to support reliable, well-governed data ingestion and platform expansion across the enterprise. You will require a strong command of both technical delivery and stakeholder engagement-translating business priorities into platform investment decisions, and making the platform's contribution to Ledcor's data maturity visible and credible to senior audiences. Come and join the True Blue team and apply today! Essential Responsibilities Lead the scalability, reliability, and continuous evolution of the enterprise data platform-including pipelines, integration patterns, data models, and cloud infrastructure-to deliver a predictable, high-quality data factory for all consumption needs Own the platform's 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 management-balancing 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 sound-with clear lineage, quality thresholds, and metadata cataloguing-so 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 policies-translating 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 platform's 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

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