AI & Data Strategist
- Calgary, AB, Canada
Full-time
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Job details
- Job type
- Full-time
- Apply by
- Experience
- 3+ years of experience focused on AI, data, analytics, or intelligent automation initiatives.
- Posting language
- English
- Posted
Original job description
Who We Are
Slalom is a fiercely human business and technology company that leads with outcomes and teams with leaders, bringing more together. Our purpose is to help people and organizations dream bigger, move faster, and build better tomorrows for all. Every day we bring our heads and our hearts to being a trusted copilot, respectful challenger, and unwavering champion for each of our customers.
Our strategic vision is to be the first in our industry to lead with bringing more and delivering outcomes as we work to become the world’s most customer-obsessed and employee-empowered services company. From strategy through delivery, our agile teams across 52 offices in 12 countries partner with clients to co-create powerful customer experiences, modern ways of working, and meaningful impact.
What sets us apart? We believe work should be challenging and fulfilling, not perfect, but possible. That’s why we prioritize purpose, flexibility, connection, and recognition, so our people can thrive and love what they do, most days.
Job Title:
AI & Data Strategist
What You’ll Do
- Support executive workshops and discovery sessions to assess business priorities, AI readiness, data maturity, and organizational capabilities.
- Help develop enterprise AI and data strategies, operating models, governance approaches, and implementation roadmaps aligned to client business goals and technical maturity.
- Identify, evaluate, and prioritize high-impact AI and data opportunities across business functions, translating complex challenges into practical transformation strategies and execution plans.
- Advise clients on foundational data capabilities required for AI success, including governance, data quality, modern data platforms, interoperability, and responsible AI practices.
- Partner with architects, engineers, data scientists, designers, and business stakeholders to align strategic recommendations with delivery realities and organizational change needs.
- Serve as a trusted advisor to client stakeholders, facilitating cross-functional alignment and providing leadership across strategic engagements.
- Develop executive-ready deliverables including strategy presentations, assessments, business cases, white papers, and market insights while contributing to Slalom’s practice development through mentoring, reusable assets, and thought leadership.
- Stay current on emerging trends in AI, generative AI, autonomous agents, analytics, and intelligent automation, translating innovation into practical client value.
What You’ll Bring
- 3-5 years of experience in consulting, enterprise strategy, digital transformation, data strategy, analytics, or technology advisory roles, including experience leading client-facing engagements.
- 3+ years of experience focused on AI, data, analytics, or intelligent automation initiatives.
- Proven experience developing enterprise AI and/or data strategies, with a strong understanding of governance, data architecture, modern data platforms, analytics ecosystems, and responsible AI principles.
- Familiarity with AI/ML technologies and platforms including generative AI, LLMs, Azure, AWS, Databricks, Snowflake, OpenAI, Google Cloud, or similar ecosystems.
- Exceptional communication, facilitation, and presentation skills, with the ability to engage senior stakeholders and simplify complex technical concepts for executive and non-technical audiences.
- Strong consulting and problem-solving skills, including stakeholder management, executive storytelling, workshop facilitation, and cross-functional collaboration.
About Us
Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams across 52 offices in 12 countries partner with clients to co-create powerful customer experiences, modern ways of working, and meaningful impact.
What sets us apart? We believe work should be challenging and fulfilling, not perfect, but possible. That’s why we prioritize purpose, flexibility, connection, and recognition, so our people can thrive and love what they do, most days.
Hybrid/In office: We are hybrid but there are expectations that if your team leader or client requires you onsite that you are able to meet those expectations/requirements
Slalom is committed to fair and equitable compensation practices. Actual compensation will depend upon individual’s skills, experience, qualifications, and other relevant factors.
Slalom Employee Perks:
- Culture & fun!
- Lunch & learns
- Health & wellness activities
- Holiday parties
- Employee community groups
- Social clubs & activities
- Vacation (20 days prorated based on start date & wellness/sick days)
Tangible perks
- Competitive compensation package
- $100 cell phone monthly reimbursement
- Registered Retirement Program (RRSP) & Employer Matching
- Tax-Free Savings Account (TFSA)
- Annual “Thrive Well-Being” Gift Card
- Family planning/ Fertility Benefit
- Maternity/Parental Leave Top-Up
- Medical & Dental Benefits
- Life and AD&D Insurance
- Access to Supplementary Life and AD&D Insurance
- Access to the Employee Assistance Program (EAP) and Inkblot Therapy
- And more!
*All benefits are subject to eligibility requirements
Slalom is an inclusive, equal opportunity employer dedicated to building a diverse workforce. We encourage applications from all qualified candidates and will work to reasonably accommodate applicants’ needs throughout all stages of the recruitment and selection process. Please advise the talent acquisition team if you require accommodations during the interview process.
Please note if you are hired at Slalom you will be required to complete a background check.
More about this job
Responsibilities
Assess client priorities, AI readiness, data maturity, and organizational capabilities, then develop AI and data strategies, operating models, governance approaches, and implementation roadmaps. Identify and prioritize opportunities, advise on foundational data capabilities and responsible AI, align recommendations with delivery teams, and guide client stakeholders through strategic engagements.
Requirements
Requires 3–5 years of consulting, strategy, transformation, data, analytics, or technology advisory experience, including client-facing engagement leadership, and at least 3 years focused on AI, data, analytics, or intelligent automation. Candidates should have experience developing enterprise AI or data strategies, knowledge of governance and data platforms, familiarity with AI/ML ecosystems, and strong executive communication, facilitation, and consulting skills.
Skills
- AI Strategy
- Data Strategy
- Enterprise Strategy
- Data Governance
- Data Architecture
- Modern Data Platforms
- Analytics
- Responsible AI
- Generative AI
- Large Language Models
- Workshop Facilitation
- Executive Communication
- Stakeholder Management
- Business Case Development
- Organizational Change
- Cross-Functional Collaboration
Benefits
- Vacation
- Wellness And Sick Days
- Cell Phone Reimbursement
- Registered Retirement Savings Plan (RRSP) With Employer Matching
- Tax-Free Savings Account (TFSA)
- Well-Being Gift Card
- Family Planning And Fertility Benefit
- Maternity And Parental Leave Top-Up
- Medical Benefits
- Dental Benefits
- Life And Accidental Death And Dismemberment Insurance
- Supplementary Life And Accidental Death And Dismemberment Insurance
- Employee Assistance Program
- Therapy Access
- Employee Community Groups
- Social Clubs And Activities
Visa sponsorship
Not detected in the job text
Categories
- Consulting
- Data & Analytics
- Technology
- Management & Leadership
Keywords
- Artificial Intelligence
- Data Strategy
- Generative AI
- Large Language Models
- Autonomous Agents
- Analytics
- Intelligent Automation
- AI Readiness
- Data Maturity
- Data Governance
- Data Quality
- Data Architecture
- Modern Data Platforms
- Interoperability
- Responsible AI
- Machine Learning
- Azure
- AWS
- Databricks
- Snowflake
- OpenAI
- Google Cloud
- Operating Models
- Implementation Roadmaps
- Digital Transformation
- Executive Workshops
- Stakeholder Management
- Business Cases
- Organizational Change
- Thought Leadership