jobTitle

skills

yearOfExperience

Junior Engagement Manager

McKinsey & Company

Cognizant

Mindtree

<div><strong>Job Summary:</strong></div><div>We are looking for a&nbsp;Junior Engagement Manager&nbsp;to support a strategic&nbsp;automotive client&nbsp;on&nbsp;AWS-based data transformation initiatives. You’ll help manage delivery and engagement across cloud, data, and AI programs, working closely with&nbsp;key stakeholders, consultants, engineers, and architects&nbsp;to enable use cases like&nbsp;Modernizing Data Stack, Supply and Manufacturing processes.</div><div><br></div><div><strong>Key Responsibilities:</strong></div><div>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Support the&nbsp;<strong>day-to-day management of client engagements</strong>, ensuring deliverables are aligned to client objectives and timelines.</div><div>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Act as the coordination point between&nbsp;<strong>technical delivery teams and client stakeholders</strong>.</div><div>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Assist in managing project plans, risk logs, status updates, and governance routines across&nbsp;<strong>data engineering, analytics, and AI/ML workstreams.</strong></div><div>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Contribute to&nbsp;<strong>requirement gathering, backlog grooming, and user story definition</strong>&nbsp;with product owners and technical leads.</div><div>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Track KPIs, usage metrics, and program health to&nbsp;<strong>measure impact and value realization.</strong></div><div>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Help drive&nbsp;<strong>client communications</strong>, including weekly reports, executive briefings, and stakeholder alignment.</div><div>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Support business development activities including&nbsp;<strong>pitch decks, proposal inputs, and account strategy.</strong></div><div>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Stay aligned with AWS best practices and relevant automotive use cases (e.g., workforce management, smart manufacturing).</div><div><br></div><div><strong>Required Skills &amp; Experience:</strong></div><div>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<strong>8–12 years of experience</strong>&nbsp;in consulting, program coordination, or delivery in a&nbsp;<strong>technology-driven or client-facing role</strong>.</div><div>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Exposure to&nbsp;<strong>cloud platforms</strong>—preferably AWS (e.g., S3, Redshift, Glue, Lambda, SageMaker, Athena).</div><div>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Strong interest in&nbsp;<strong>data &amp; analytics, AI/ML, and cloud transformation programs</strong>.</div><div>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Understanding of the&nbsp;<strong>automotive industry landscape</strong>—OEM, supply chain, or connected vehicle services.</div><div>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Excellent communication, documentation, and stakeholder management skills.</div><div>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Proficient in project tools like&nbsp;<strong>Jira, Confluence, Smartsheet, or Microsoft Project</strong>, and collaboration tools like Slack or MS Teams.</div><div>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Strong skills in&nbsp;<strong>PowerPoint, Excel</strong>, and creating client-ready presentations.</div><div><br></div><div><strong>Preferred Qualifications:</strong></div><div>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Familiarity with<strong>&nbsp;AWS services&nbsp;</strong>and their use in data pipelines, data lakes, or AI/ML solutions.</div><div>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Prior experience working on<strong>&nbsp;data modernization or analytics initiatives.</strong></div><div>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Understanding of<strong>&nbsp;agile delivery methodologies&nbsp;</strong>and working in multi-disciplinary teams.</div><div>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience working with<strong>&nbsp;automotive clients or large enterprise transformation programs.</strong></div><div><br></div>