Gestionnaire principal – Analytique du PMO | Senior Manager – PMO Analytics

RTX•Quebec, QC

54d•Remote

About The Position

Pratt & Whitney Canada (P&WC) is a global leader in aerospace innovation, proudly headquartered in Longueuil, Quebec, since 1928. We design and manufacture next-generation aircraft engines that power the world’s largest fleet of business, general aviation, and regional aircraft and helicopters. For nearly 100 years, our teams have been at the forefront of propulsion technology, pushing boundaries to make flight more efficient and reliable. Our engines support missions that truly matter, from transporting people and essential goods, to enabling emergency medical services, humanitarian operations, and wildfire suppression around the world. Pratt & Whitney Canada was named one of Canada’s Best Employers for 2026 by Forbes, marking the 11th consecutive year the company has earned this recognition. Pratt & Whitney Canada also ranked #1 employer in the aerospace and defense industry in the country. In addition, our headquarters continues to be recognized among the top employers in the Montreal region. Together, these distinctions reinforce our reputation as an employer of choice in Montreal, across Canada, and around the world. We are on a digital transformation journey, redefining how we work, optimizing operations and transforming products and services to elevate employee and customer experiences. As part of our Digital Technology team, you’ll help shape the future, working with advanced tools, automating processes and innovating across all business functions. Our global organization is committed to cultivating an empowered and skilled team to bring advanced solutions and leading-edge digital capabilities to market for our customers. Senior Manager, PMO Analytics is responsible for architecting and operating the DT Single Pane of Glass (SPoG) ecosystem that provides the Senior Leadership Team (SLT) with integrated, real-time visibility across Portfolio, Demand, Capacity, Financials, Workforce, and Risk domains. This role serves as the analytics backbone of the PMO — transforming fragmented enterprise data into cohesive, executive-ready intelligence that enables strategic prioritization, investment trade-offs, and operational performance management.

Requirements

10+ years in PMO, portfolio management, enterprise analytics, or digital strategy roles.
Advanced hands-on expertise in Power BI (complex data modeling, DAX, automation).
Experience integrating multi-source enterprise data environments.
Strong executive presence with demonstrated ability to facilitate SLT discussions.
Proven ability to convert analytics into strategic recommendations.
Deep understanding of portfolio governance, financial management, and capacity planning.

Responsibilities

Design, build, and maintain integrated executive dashboards spanning: PMO: Portfolio health, milestone adherence, risk heatmaps, delivery performance, benefits realization.
Demand & Capacity: Demand pipeline, intake cycle time, capacity utilization, skill gaps, forecast accuracy, scenario modeling.
Finance: Run/Grow/Transform investment mix, budget vs. actuals, CapEx/OpEx tracking, cost-to-deliver analytics.
HR / Workforce: Resource mix (FTE vs. contractors), skill distribution, attrition trends, hiring pipeline, productivity metrics.
Cyber & Risk: Security risk exposure, compliance posture, remediation progress, system criticality heatmaps.
Executive Strategic Alignment View: Initiative alignment to strategic themes, OKRs, enterprise priorities, and transformation roadmaps.
Develop sophisticated Power BI models using advanced DAX, data modeling, and cross-system integration.
Integrate data from Planview, JIRA, ERP, HR systems, and Cyber platforms into a harmonized analytics framework.
Conduct complex quantitative analysis including: Capacity vs. demand optimization Scenario modeling for prioritization trade-offs Portfolio throughput analysis Forecast variance and trend analysis Predictive risk indicators
Establish standardized KPI frameworks and data governance across domains.
Evangelize the use of AI within PMO processes and reporting
Prepare and lead analytics-driven discussions with SLT.
Translate complex data into concise executive narratives.
Proactively identify insights, risks, and performance inflection points.
Enable data-driven prioritization decisions within governance forums.