A global engineering & nuclear services firm delivering end‑to‑end infrastructure and energy solutions.
Lead enterprise reporting strategy, governance and analytics CoE.
3 days ago ago
Expert & Leadership (13+ years)
Full Time
CA.QC.Montréal.455 boul. René-Lévesque Ouest | GB.London.Nova North
Office Full-Time
Company Size
40,000 Employees
Service Specialisms
Architectural Design and Engineering
Civil Design and Engineering
Structural Design and Engineering
Electrical Design and Engineering
Mechanical Design and Engineering
Transportation planning
Highways and bridges
Railroads and transit
Sector Specialisms
Water
Environment
Education
Aerospace
Security
Defence
Communications
Infrastructure
Role
Description
kpi framework
data modeling
data governance
platform ops
tech selection
change management
Create an enterprise KPI framework (definitions, ownership, calculation logic) to drive a single source of truth.
Ensure traceability from source systems (ERP/EPM/CRM/Operational) through to certified datasets and reports; maintain data validation and reconciliation controls.
Oversee platform reliability (availability, performance, cost optimization) and vendor relationships/renewals; manage the CoE budget.
Strategic partnerships with the office of the COO and CGO around project delivery and win work to deliver on common goals.
Set standards for data modeling (e.g., dimensional modeling, star schemas), semantic layers, and versioning; define DevSecOps practices (CI/CD, test automation, code review, observability).
Serve as the primary business partner to FP&A, Controllership, IT/Data, and Operations leaders; translate business needs into a scalable reporting product backlog.
Define and communicate the enterprise reporting strategy aligned to Finance, IT, and Operations priorities; champion adoption across regions, functions, and lines of business.
Collaborate with Cybersecurity, Internal Audit, and Legal to ensure compliance with privacy and data residency obligations (e.g., PIPEDA, GDPR).
Define roles, career paths, capability standards, and hiring/onboarding plans; foster a culture of curiosity, accountability, and continuous improvement.
Establish the CoE operating model (governance forums, intake & prioritization, product lifecycle, service catalog, SLAs, success metrics).
Lead technology selection in partnership with IT: evaluate and recommend BI, data integration, data platform (e.g., cloud warehouse/lakehouse), and semantic layer technologies via structured RFPs/POCs, TCO/ROI analyses, and reference architectures.
Establish product management for reporting/analytics (intake, discovery, MVPs, iterative releases) using Agile practices.
Prepare the foundation for AI/ML by maturing data quality, lineage, and governed feature assets; partner with Data Science on feature stores, model monitoring, and Responsible AI practices.
Build and enforce enterprise data governance for reporting: data ownership & stewardship, metadata and lineage, master data & reference data, data quality SLAs, and role-based access control.
Define and maintain KPI definition standards, semantic models, and a governed data catalog to enable reuse and self-service.
Lead organizational change management (communications, training, enablement assets, community of practice) to drive adoption and measurable behavior change.
Deliver executive dashboards, operational reports, and self-service datasets with consistent design standards (visualization guidelines, accessibility, brand).
Identify high-value use cases (forecasting, anomaly detection, operations optimization) and sequence them into the roadmap once the foundations are in place, benefiting central and regional users.
Build and lead a diverse, high-performing team: data visualization developers, data modelers/engineers, data governance leads, analytics product owners, and adoption/change specialists.
Facilitate executive steering and prioritization; ensure alignment to enterprise strategy and regulatory/controls requirements (e.g., SOX, privacy).
Requirements
mlops
sap
power bi
tableau
azure
mba
Exposure to AI/ML enablement (feature stores, model governance, MLOps) and Responsible AI frameworks is a strong plus.
Master’s in Data/Analytics, Information Management, or MBA preferred.
Strong familiarity with ERP/EPM (e.g., SAP/Oracle/Workday, Anaplan/Oracle Cloud EPM), operational systems, and finance processes (close, consolidation, forecasting).
12+ years progressive experience in enterprise reporting/BI, data & analytics, or FP&A/Tech partnership roles within complex, global organizations.
Product mindset with strong prioritization, value realization, and outcome measurement.
Experience establishing data governance (ownership/stewardship, cataloging, MDM/RDM, quality, access control) and operating within regulated control environments.
Relevant certifications an asset: Azure/Data Engineer or Architect, Power BI/Tableau, CDMP/DCAM (data management), Prosci/ADKAR (change), PMP/Prince2/Agile.
Influential communicator and motivator, skilled at engaging and aligning key stakeholders.
Track record of technology selection, reference architecture design, and scaling self-service analytics safely and effectively.
Demonstrated ability to lead with integrity, accountability, and results-oriented focus.
Executive presence and credibility with Finance, IT, and Operations leaders; able to translate strategy into an actionable roadmap and operating model.
Bachelor’s degree in Information Systems, Computer Science, Engineering, Finance, or related field required.
Bilingual (English/French) preferred; ability to work across time zones and cultures.
5+ years leading reporting/analytics teams or a Center of Excellence, including responsibility for budget, vendor management, and executive stakeholder engagement.
Own CoE roadmap and multi-year capability maturity plan (from descriptive to diagnostic, predictive, and prescriptive analytics).
Strategic thinker and data-driven decision-maker with a focus on continuous improvement and performance.
Occasional travel (up to ~10–15%) may be required.
Excellent communication, storytelling, and data visualization standards; passion for user-centric design and accessibility.
Demonstrated success driving adoption of enterprise reporting strategies and delivering measurable business value.
Hands-on background with modern BI tools (e.g., Power BI, Tableau), data platforms (e.g., Azure/Snowflake/Databricks), data integration (e.g., Azure Data Factory/SSIS), and SQL.
Collaborative leadership style with a commitment to cross-functional teamwork and high-performance culture.
Proficient in Agile delivery (Scrum/SAFe), DevOps/CI-CD for analytics, and platform cost/performance optimization.