Director, Enterprise Data and Analytics (ED&A)

Stantec•Austin, TX

18h

About The Position

At Stantec, we unite some of the world's most talented professionals to design, engineer, and deliver solutions that shape communities and industries for the better. Data and analytics are at the heart of how we make smarter decisions faster and with greater confidence. We are seeking a Director, Enterprise Data & Analytics (ED&A) to drive the strategy, governance, and people that power evidence-based decision-making across Stantec. Joining the Enterprise Software Solutions (ESS) leadership team, you will lead a globally distributed group of analytics professionals, architects, developers and partner with senior stakeholders across Finance, HR, Project Deliver Office, Marketing & Business Development, Corporate Development, HSSE, and Practice Services. This is a high-impact role that blends enterprise strategy, data governance, people leadership, and AI/ML-augmented analytics, designed for a leader who combines analytical depth with strong business judgment. You bring a thoughtful, collaborative approach to leadership and apply strategic and analytical insight to enable informed, high-quality decisions across the organization. You actively seek opportunities to strengthen how data and analytics support business outcomes, while continuing to elevate enterprise analytics capabilities.

Requirements

10+ years of progressive leadership experience in enterprise data, analytics, business intelligence, or related disciplines.
Bachelor's degree in a relevant field (Computer Science, Data Science, Business, Engineering, or equivalent); an advanced degree is an asset.
Proven experience defining and executing analytics strategy in a complex, global organization.
Experience leading distributed, multi-disciplinary teams within matrixed environments.
Strong grounding in enterprise data architecture, analytics platforms, and self-service BI principles.
Demonstrated ability to interact with senior stakeholders and translate business needs into scalable technical outcomes.
People Leadership — Experience building, coaching, and developing diverse, distributed teams.
Business Acumen — Ability to connect analytics outcomes directly to organizational strategy and financial or operational performance.
Data & Analytics Strategy — Ability to develop and execute a coherent, enterprise-scale analytics strategy tied to business outcomes.
Operating Model Design — Experience building or transforming analytics operating models including intake, governance, and service delivery.
Data Governance — Deep understanding of data quality, stewardship, and metadata management practices.
Platform Stewardship — Proven leadership over enterprise analytics platforms and ecosystems (e.g., cloud analytics, BI tooling, data services).
Cloud & Modern Data Architecture — Familiarity with cloud-native analytics platforms and modern data architecture patterns.
Self-Service Enablement — Track record of enabling non-technical users through governed self-service BI and analytics solutions.
Delivery & Prioritization — Disciplined approach to managing a portfolio of analytics initiatives with competing priorities and finite capacity.
Stakeholder Influence — Ability to engage, advise, and influence senior business and IT leaders.

Nice To Haves

An advanced degree is an asset.

Responsibilities

Serve as a trusted senior advisor to business leaders translating strategic questions into actionable, insight-driven solutions by framing complex issues, synthesizing information, and guiding leaders toward practical, evidence-based choices.
Ensure analytics initiatives are outcome-oriented, delivering measurable decision support and business value.
Build strong cross-functional relationships, manage stakeholder demand and expectations transparently, and maintain clear alignment between business priorities and team capacity.
Partner with teams such as Integrated Business Applications, Enterprise Architecture, Security, and Infrastructure teams to ensure platforms are secure, scalable, and cost-effective.
Rationalize tools and platforms thoughtfully — balancing innovation with enterprise standards, operability, and long-term sustainability.
Communicate with confidence and credibility, clearly articulating insights, recommendations, and implications to senior leaders and executive audiences to support well-informed decision-making.
Establish and continuously mature the ED&A operating model including stakeholder demand intake, prioritization, a service catalog, and delivery standards.
Ensure delivery excellence across scope, schedule, budget, and quality by setting clear expectations and reinforcing accountability for results.
Collaborate with business and IT leaders to strengthen data governance, quality, and stewardship practices.
Collaborate with other senior leaders and stakeholders to define a data and analytics strategy aligned to Stantec's business priorities and digital roadmap with a focus on translating strategic intent into scalable, value-driven analytics initiatives.
Identify and evaluate opportunities to apply AI/ML and advanced analytics capabilities including predictive modeling, forecasting, and natural language interfaces to enhance decision support and improve organizational effectiveness in a practical, sustainable manner.
Lead, mentor, and grow a high-performing team of analytics professionals by fostering an inclusive environment that supports growth, accountability, and high standards of performance.
Define clear roles, career development opportunities, and performance expectations that attract and retain top talent.
Foster a team culture grounded in accountability, collaboration, and continuous improvement encouraging teams to challenge assumptions, learn continuously, and focus on delivering meaningful outcomes.