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