Engagement Manager

Job Tittle- Engagement Manager – Analytics and AI ConsultingStraive 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:
Role OverviewWe 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 ResponsibilitiesClient & 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.
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
Mode:
Hybrid (client on-site + remote, as required by project and client needs)
Occasional travel to other client or Straive locations may be required
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