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Metro locations, common engagement role, and broad technical-client requirements produce medium competition.
Delivery and client-management skills are transferable, but ML/data expertise increases domain specificity.
Explicit 6–12 years plus required delivery, client management, and technical acumen create strict shortlisting.
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Serve as main liaison between clients and delivery teams, managing engagement lifecycle from discovery to closure.
Translate client business challenges into actionable requirements and coordinate solution proposal with technical teams.
Manage project scope, timeline, budget, resources, risk mitigation, and reporting to ensure successful delivery of professional services engagements.
6 to 12 years of work experience in managing professional services engagements.
Technical understanding of Machine Learning, Software Development, Data Analytics, and AWS services.
Proven skills in client requirement gathering, solutioning, and resource management.
Strong communication skills with ability to manage client expectations and create project documentation.
Experience operating at the intersection of client engagement and technical delivery with ability to manage multiple stakeholders.
Comfortable working with Agile/Scrum methodologies in fast-paced service-based or technology consulting environments.
Capable of independently handling end-to-end engagement management including scoping, resource coordination, and risk management.