Support a strategic automotive client on AWS-based data transformation initiatives, enabling use cases like Modernizing Data Stack, Supply and Manufacturing processes.
Requirements
- 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.
- 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.
- Familiarity with AWS services and their use in data pipelines, data lakes, or AI/ML solutions.
- Understanding of agile delivery methodologies and working in multi-disciplinary teams.
Responsibilities
- 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.
- Stay aligned with AWS best practices and relevant automotive use cases (e.g., workforce management, smart manufacturing).
Other
- Support the day-to-day management of client engagements, ensuring deliverables are aligned to client objectives and timelines.
- Help drive client communications, including weekly reports, executive briefings, and stakeholder alignment.
- Support business development activities including pitch decks, proposal inputs, and account strategy.
- 8–12 years of experience in consulting, program coordination, or delivery in a technology-driven or client-facing role.
- Excellent communication, documentation, and stakeholder management skills.
