Head of Product | Tech

Our business teams include finance, procurement, human resources, information technology, marketing, corporate development, HSSE, real estate, legal, and practice services. Through teamwork and collaboration, we’re building a stronger, more resilient Stantec every day.

Stantec’s Digital Center of Excellence (DCoE) is a global innovation and delivery team focused on advancing digital science, engineering transformation, and AI‑enabled solutions across the business. The DCoE leads the strategy, development, and governance of digital assets and products, leveraging data, automation, artificial intelligence, and modern platforms to create scalable, high‑value solutions for our clients and internal teams.

We pride ourselves on pushing the boundaries of digital engineering and applied data science, translating emerging technologies into practical, trusted solutions that deliver measurable business outcomes.

We are seeking a Product Manager with strong AI and digital platform experience and a foundation in consulting, science, or engineering. In this role, you will work as part of a global innovation team, partnering closely with data scientists, AI engineers, architects, and business stakeholders to define, build, and scale intelligent digital assets and products. This role blends product strategy, AI literacy, and consulting mindset, and is ideal for someone who thrives at the intersection of technology, customer outcomes, and business value.

If you have experience with product management and a traditional consulting, data and AI, science or engineering background, we want you on our team. In this role, you will collaborate with a global innovation team and be part of the Digital Transformation and Strategy Implementation for Stantec.

The successful candidate is uniquely qualified to leverage cross-functional teams (Assets & Products, Development, Infrastructure, Data & AI, and Operations) and ensure we release assets & products that our internal teams and our customers will get excited about.

Asset & Product Strategy and Roadmap

Understand the end user’s experience with the digital solution, defining the roadmap through business collaboration and prioritizing based on business needs and value

Assist in the development of business cases for potential digital solutions and digital solution features, AI capabilities, and advanced analytics features

Translate asset and product strategy into detailed functional and non‑functional requirements, prototypes and production deployments

Work with Asset & Product Owners to coordinate, prioritize and oversee backlogs for teams developing solutions across the organization

Asset & Product Discovery, Delivery, and Optimization

Partner with solutions architects, AI engineers, and data scientists to ensure products align with enterprise platform principles, governance, and responsible AI practices

Collaborate on data lifecycle considerations, including data readiness, explainability, scalability, and operationalization

Ensure AI capabilities are production‑ready, trustworthy, and aligned with client and regulatory expectations

Work with solutions and applications architects to ensure products meet platform principles

Support governance, risk review, and advisory processes for digital and application AI integration initiatives

Work with Asset & Product owners to develop pricing and positioning strategies

Work with Asset & Product owners to develop pricing and positioning strategies

A passion for developing AI enabled digital solutions that users trust and love

Experience applying AI/ML to automate decision-making, document processing, data preparation, or workflow orchestration

Strong product management fundamentals combined with AI, data, or advanced analytics literacy

Experience with low-code/no-code platforms, workflow orchestration, or API‑driven automation

Superior organizational and project management skills in a matrixed, global environment

Innate tendency to be curious, positive, and creative

Solid technical background with understanding and/or hands‑on experience in software development and web technologies, data pipelines, analytics or AI/ML enabled systems

Demonstrated success delivering automation or platform products that improved productivity or reduced operational costs

University degrees in Business Administration, Computer Science, Software Engineering, Information Systems, Data Science or another engineering related field

Minimum five (5) years’ experience implementing go‑to‑market assets or products processes in an engineering and science product category

Experience in the AEC industry or with the target industry/users preferred

At Stantec certain roles are bonus eligible. Actual compensation for part‑time roles will be pro‑rated based on the agreed number of working hours per week.

Regular full‑time and part‑time employees (working at least 20 hours per week) have access to medical, dental, and vision plans, a 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 and paid family leave. Regular full‑time and part‑time employees will receive ten paid holidays in each calendar year. In addition, employees will be eligible to accrue vacation between 10 and 20 days per year and eligible for paid sick leave (and if more generous, in accordance with state and local law).

Temporary/casual employees have access to 401(k) plans, employee stock purchase program, and paid leave, in accordance with state and local law.

The benefits information listed above may not apply to union positions because benefits for such positions are governed by applicable collective bargaining agreements

BC-2259 Digital CoE-US

Travel: No

Schedule: Full time

Stantec provides equal employment opportunities to all qualified employees and applicants for future and current employment and prohibit discrimination on the grounds of race, colour, religion, sex, national origin, age, marital status, genetic information, disability, sexual orientation, gender identity or gender expression. We prohibit discrimination in decisions concerning recruitment, hiring, referral, promotion, compensation, fringe benefits, job training, terminations or any other condition of employment.