Senior Engagement Manager

• 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 strong 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.