Senior Engagement Manager

5 days ago

Bengaluru Mumbai, India Quantiphi Analytics Solutions Full time

Job Description - 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.

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