- As a Senior Engagement Manager, you will be responsible for heading and managing the
- Applied AI customer engagements , delivery efforts in a B2B environment for Customer
- service teams of various organizations. The Senior Engagement Manager plays a crucial role
- in driving client success and ensuring the successful delivery of AI projects. This involves
- cultivating robust client relationships, providing technical leadership, and managing
- customer communications to ensure satisfaction. They are also responsible for establishing
- robust project management frameworks, overseeing the entire project lifecycle, and
- proactively resolving delivery issues and technical obstacles. Furthermore, this role
- demands effective team leadership, including developing team skills, guiding team
- members through technical challenges, and fostering a high-performing team
- environment.
- Client Management:
- Managing customer communication, relationships and escalation management,
- and driving customer satisfaction
- Drive Delivery led growth by guiding the client on technology evaluation, technical
- thought leadership and direction.
- Constantly sync with the Technology Business team to align on business priorities,
- and plan for long term and short-term architecture goals.
- Showcase thought leadership on technology roadmaps, agile development
- methodologies and best practices.

Project Delivery:

- Defining and building the project management disciplines, the processes,
- governance framework, technology baseline, conflict management, resource
- management, and associated reporting.
- Ensure successful and timely delivery of AI projects by being accountable to deliver




- as per Service Levels agreements.
- Guide the Engagement Managers on aspects related to Project Management, Client
- Management and Resource Management. Should be able to build a strong
- performing team.
- Ensuring prompt identification and resolution of Delivery issues or technical
- objections and develop strategies to mitigate the same.
- Team management:
- Work with the team to identify and qualify business opportunities. Identify key
- customer technical objections and develop a strategy to resolve technical blockers.
- Ensure proper skill development of team members.
- Guide and help team members to debug and solve technical problems.
- Travel to customer sites, conferences, and other related events as required

Responsibilities:

- Excellent client communication, analytical and presentation skills.
- Ability to work with minimal supervision in a dynamic and time sensitive work
- environment.
- Experience to manage a midsize team (30-50) is a must.
- Experienced in managing mid to large size data and cloud engagements / AI / ML
- Solutions using GCP/AWS/Azure platforms and services.
- Problem solving mindset and ability to guide the team to resolve project issues.
- Good grasp of risk management, scope management and project profitability.

Nice to have skills:

- Experience and knowledge of critical phases of the sales process which includes
- requirement gathering, sales planning, solution scoping, proposal building and client
- presentation.
- Knowledge and willingness to learn and apply emerging trends in cloud, Open AI,
- data science and Artificial Intelligence.

Skills: Data Science, Gcp, Azure, Aws

Experience: 14.00-19.00 Years

📌 Senior Engagement Manager (Bengaluru)
🏢 Quantiphi Analytics Solutions
📍 Bengaluru