Engagement Manager

About Us

Straive is a global leader in data analytics and AI operationalization, helping enterprises embed advanced AI and data capabilities into core business workflows to deliver measurable business outcomes and ROI. With a workforce of ~20,000 professionals serving 350+ clients across 30+ markets, Straive combines technical scale with deep domain expertise. A key differentiator is its network of over 6,000 subject matter experts who specialize in managing and enriching complex, unstructured data enabling organizations to build AI systems grounded in accuracy, context, and business relevance.

About the Role

Straive is seeking a strategic and driven Engagement Manager / Senior Engagement Manager to lead and coordinate data analytics and AI engagements for strategic enterprise clients across global markets. As a trusted AI consulting partner, this is a high-impact, client-facing role with significant exposure to senior client stakeholders and Straive leadership.

You will be responsible for translating complex business challenges into scalable AI/analytics

solutions, acting as the primary bridge between business leaders and technical delivery teams.

The role requires fluency in AI concepts (ML, GenAI, LLMs) and a track record of owning end-to-end delivery. You will oversee project execution, drive account growth, manage P&L, and shape strategic programs in an AI-first organization.

Key Responsibilities

1. Engagement Planning & End-to-End Delivery

• Define engagement charters, delivery plans, and milestones across concurrent AI and data

workstreams.

• Oversee successful execution of analytics and AI initiatives from inception to completion.

2. Client & Stakeholder Management

• Engage with CXO / VP-level stakeholders to understand objectives, constraints, and success metrics.

• Build trusted-advisor relationships, managing expectations and delivering exceptional client experiences.

3. Strategic Translation & Solutioning

• Translate unstructured client questions into clear problem statements, hypotheses, and

analytical workplans.

• Develop AI roadmaps aligning with client vision and business objectives.

4. Account Growth & Business Development

• Proactively identify new opportunity areas where AI and analytics can deliver incremental

value.

• Drive proposal creation, RFP responses, SOWs, and executive presentations clearly

articulating business value.

Required Experience and Qualifications

• 10+ years of total professional experience across strategy consulting, analytics consulting, or technology-enabled transformation roles.

• Minimum of 7+ years of relevant experience managing and delivering data analytics, data

science, and AI-driven projects.

• Proven track record of leading end-to-end AI/ML solution delivery across global enterprise

clients.

• Strong fluency in AI terminology and concepts (e.g., classical AI/ML, GenAI, LLMs).

• Excellent stakeholder management skills, with demonstrated experience interfacing with C-suite and VP-level executives.

• Experience managing account-level P&L and contributing to RFPs and business development efforts.