- Role: Engagement Manager- Data Analytics & AI

- Key Responsibilities
- 1. Engagement Planning & End-to-End Delivery

- Define engagement charters, delivery strategies, project plans, and milestones across multiple AI and data analytics workstreams.
- Lead and oversee the successful execution of analytics, data science, and AI initiatives from inception to completion.
- Ensure timely delivery, quality standards, and achievement of defined business outcomes.
- 1. Client & Stakeholder Management

- Engage with CXO, VP-level, and senior business stakeholders to understand business objectives, challenges, and success metrics.
- Build and maintain strong client relationships, positioning the organization as a trusted consulting and technology partner.
- Manage client expectations, resolve escalations, and ensure high levels of client satisfaction.
- 1. Strategic Translation & Solutioning

- Translate complex and unstructured business requirements into well-defined problem statements, hypotheses, and analytical workplans.
- Identify opportunities to leverage AI, ML, and advanced analytics to address business challenges.
- Develop AI and analytics roadmaps aligned with client business strategies and long-term objectives.
- Collaborate with technical teams to design scalable and business-focused solutions.
- 1. Account Growth & Business Development

- Identify opportunities to expand existing accounts through AI and analytics-led solutions.
- Drive proposal development,



RFP/RFI responses, Statements of Work (SOWs), and executive-level presentations.
- Articulate business value, solution benefits, and expected ROI to prospective and existing clients.
- Contribute to account strategy, revenue growth, and overall business development initiatives.
- Manage account-level P&L;, financial performance, and profitability.
- Required Experience & Qualifications
- 10+ years of overall professional experience in strategy consulting, analytics consulting, or technology-enabled transformation roles.
- Minimum 7+ years of relevant experience managing and delivering Data Analytics, Data Science, and AI-driven projects.
- Proven experience leading end-to-end AI/ML solution delivery for global enterprise clients.
- Robust understanding of AI concepts, including:
- Classical AI and Machine Learning

- Generative AI (GenAI)

- Large Language Models (LLMs)
- Advanced Analytics and Data Science
- Demonstrated experience in managing CXO, VP-level, and senior executive stakeholders.
- Strong client engagement, consulting, communication, and relationship management skills.
- Experience in account management, P&L; ownership, and revenue growth.
- Hands-on involvement in RFP/RFI responses, proposal development, solution presentations, and business development activities.
- Ability to translate business requirements into technical solutions and measurable business outcomes.

📌 Engagement Manager- Data Analytics & AI (Bangalore Urban)
🏢 Saaki Argus And Averil Consulting
📍 Bangalore Urban