Engagement Manager – Analytics Consulting

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, 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.

Job Title: Engagement Manager – Analytics Consulting

Location: Calgary, Alberta (Hybrid)

Type: FTE

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+ 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, 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, others).
• 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

This job description is not intended to cover or contain a comprehensive listing of all responsibilities, duties, or activities that are required. Responsibilities, duties, and/or activities may change, or new ones may be added at any time with or without notice.

If you are a motivated professional with a passion for delivering impactful solutions, we'd love to hear from you. Apply today to be part of a dynamic and forward-thinking team at Straive.

"Straive is an Equal Opportunity Employer. Our policy is clear: there shall be no discrimination based on age, disability, sex, race, religion or belief, gender reassignment, marriage/civil partnership, pregnancy/maternity, or sexual orientation.

We are an inclusive organization and actively promote equality of opportunity for all with the right mix of talent, skills and potential. We welcome all applications from a wide range of candidates. Selection for roles will be based on individual merit alone."