Straive is a global leader in enterprise-grade Data Analytics and AI solutions, committed to empowering businesses across various industries with cutting-edge technology and expert insights. Backed by EQT, a top private equity firm, we are uniquely positioned to drive innovation through significant investments and an entrepreneurial spirit.
Our core focus is on delivering advanced Data Analytics & AI Solutions. By combining sophisticated technology with subject matter expertise, we deliver material impact on our clients' topline and streamline their operations. We specialize in providing tailored solutions across financial services, CPG, legal, pharma, life sciences, Energy, retail and logistics, helping them build robust data analytics and AI capabilities.
With a client base spanning 30 countries, Straive's strategically located teams operate from eight countries and is headquartered in Singapore. This global presence enables us to offer localized expertise with a worldwide perspective.
Join Straive to be part of a dynamic team at the forefront of data analytics and AI innovation. Here, you'll have the opportunity to contribute to transformative projects, supported by significant investments and an entrepreneurial drive fueled by our partnership with EQT.
Website: https://www.straive.com/ LinkedIn
Job Tittle- Engagement Manager – Analytics and AI Consulting
Location - Calgary,CA (Hybrid)
Employment Type- Fulltime
Role Overview
We are seeking an Engagement Manager based in Calgary to lead and coordinate
data analytics and AI engagements for strategic enterprise clients.
This is a business-facing role with significant exposure to senior client stakeholders.
You will be responsible for understanding client needs, shaping problem statements,
translating business questions into analytical workstreams, and orchestrating delivery
across technical and business teams.
The ideal candidate is:
- Strong on business acumen and knowledge (business value drivers, operations
- and KPIs)
- Able to quickly learn new industries and business domains
- Fluent in working with data & analytics teams, even if not a hands-on data
- scientist
- Highly proficient with PowerPoint and Excel for story lining, analysis, and client-
- ready deliverables
Key Responsibilities
- Client & Stakeholder Management
- Serve as the primary day-to-day contact for assigned client engagements.
- Engage with both business and technology stakeholders to understand
- objectives, constraints, and success metrics.
- Translate unstructured client questions into clear problem statements,
- hypotheses, and analytical workplans.
- Facilitate regular status reviews, steering meetings, and working sessions;
- manage expectations around scope, timelines, and risks.
Engagement Planning & Delivery
- Define and manage engagement charters, delivery plans, and milestones
- across multiple workstreams.
- Coordinate work between data engineers, data scientists, solution architects,
- and business SMEs to ensure aligned, timely delivery.
- Ensure outputs (analyses, dashboards, prototypes, models) are tied to tangible
- business outcomes and clearly communicated.
- Business Problem → Analytical Problem Translation
- Develop a deep understanding of client business processes, KPIs, and value
- drivers (e.g., operational efficiency, cost savings, risk reduction, revenue uplift).
- Break down business problems into structured analytical components and
- define data, methods, and tools required.
- Collaborate with technical teams to shape solution approaches, validate
- feasibility, and refine scope.
Account Growth & Thought Leadership
- Identify new opportunity areas where data, analytics, and AI can deliver
- incremental value for existing clients.
- Support senior leaders with proposals, SOWs, and roadmap development.
- Contribute to internal playbooks and accelerators by codifying learnings,
- templates, and best practices from engagements.
Desired Skills & Experience
- 7 - 10 years of experience in strategy consulting, analytics, and/or
- technology-enabled transformation roles.
- Strong business understanding and ability to quickly learn new industry
- verticals and business functions.
- Demonstrated experience managing client projects or workstreams,
- preferably involving data, analytics, or digital transformation.
- Proven ability to structure and drive problem-solving in ambiguous
- environments.
- Experience working closely with data/analytics teams (data scientists, software
- and AI engineers, data engineers, BI teams).
- High proficiency in PowerPoint (storylining, executive presentations) and Excel
- (analyses, scenarios, simple models).
- Excellent communication and stakeholder management skills, especially with
- senior business and technology stakeholders.
Nice to Have
- Prior experience at a consulting firms (e.g., MBB, Big four, other technology
- consulting firms).
- Experience in oil & gas, utilities, energy infrastructure, or industrial sectors.
- An MBA or equivalent postgraduate qualification is a plus but not required.
Work Model
- Location: Calgary, Alberta
- Mode: Hybrid (client on-site + remote, as required by project and client needs)
- Occasional travel to other client or Straive locations may be required
