Director, Enterprise Data and Analytics – ED&A

Stantec

Director of Enterprise Data and Analytics at Stantec leading strategy and governance. Drive insights and analytics solutions across diverse teams and stakeholders.

Posted 4/24/2026full-timeAustin • Texas • 🇺🇸 United StatesLeadWebsite

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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

Benefits

Comp & perks

Medical, dental, and vision plans
Wellness program
Health saving accounts
Flexible spending accounts
401(k) plan
Employee stock purchase program
Life and accidental death & dismemberment (AD&D) insurance
Short-term/long-term disability plans
Emergency travel benefits
Tuition reimbursement
Professional membership fee coverage
Paid family leave
Ten paid holidays per year
Vacation accrual between 10 and 20 days per year
Paid sick leave

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

analytics strategydata governancepredictive modelingforecastingnatural language interfacesenterprise data architecturebusiness intelligenceself-service BIdata analyticsAI/ML

Soft Skills

leadershipcommunicationcollaborationmentoringstakeholder managementaccountabilitystrategic thinkingproblem-solvingteam buildingcontinuous improvement

Certifications

Bachelor's degreeadvanced degree