What are the responsibilities and job description for the Engagement Manager - Analytics Consulting position at Straive?
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, energy 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 Description: Engagement Manager – Analytics Consulting
Location: Chicago, IL (Hybrid)
Type: FTE
About the Role
We are looking for an Engagement Manager with strong experience in analytics consulting, client-facing delivery, and managing data-driven projects. The role focuses on engaging with clients, understanding business needs, coordinating project execution, and ensuring smooth and high-quality delivery across analytics, data, and AI/GenAI workstreams.
Key Responsibilities
Client Engagement
- Serve as the primary day-to-day contact for client stakeholders across analytics and technology teams.
- Lead requirement-gathering discussions to understand business challenges and analytical needs.
- Maintain consistent communication with clients on project status, next steps, and risks.
- Prepare and deliver presentations, demos, and progress updates.
Delivery Management
- Manage end-to-end delivery of analytics and data-centric projects across multiple workstreams.
- Oversee planning, sprint execution, timelines, task allocations, and delivery milestones.
- Ensure outputs meet quality standards and align with client expectations.
- Work closely with analysts, data engineers, and solution teams to translate requirements into actionable tasks.
- Coordinate testing, validation, and documentation to ensure smooth handoffs.
Solution Coordination
- Support scoping, SOW creation, effort estimation, and planning for new and existing engagements.
- Break down business problems into structured project components and deliverables.
- Facilitate alignment across business, analytics, and technical teams to drive clarity and execution.
- Contribute inputs for designing solutions and delivery approaches involving cloud, data, and AI components.
Team Interaction
- Collaborate with distributed delivery teams to ensure alignment on tasks, priorities, and timelines.
- Provide guidance and clarity—ensuring all team members understand requirements and expectations.
- Maintain organized documentation and support knowledge transfer.
Required Qualifications
- 8 years of experience in analytics consulting, client delivery, or data-focused project management.
- Strong experience managing cross-functional project teams in fast-paced client environments.
- Proven ability to work directly with senior client stakeholders and navigate complex requirements.
- Familiarity with modern data stacks, cloud platforms (GCP, AWS, Azure), and analytics workflows.
- Excellent communication, articulation, and stakeholder management skills.
- Ability to manage project documentation, reporting cadences, and structured updates.
- Based in or willing to relocate to Chicago; willingness to travel as needed.
Preferred Qualifications
- Experience with data governance, metadata management, data quality, or cataloging tools (Collibra, Alation, Erwin).
- Exposure to data marketplace, data profiling, or enterprise data transformation programs.
- Familiarity with GenAI-driven accelerators (e.g., automated rule generation, metadata curation).
- Background working with QSR, retail, CPG, or global multi-market data environments.
- Prior consulting experience in a global or multi-client delivery environment.
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.”