Junior Engagement Manager (Los Angeles)
Incedo Inc., Los Angeles, CA, United States
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 .
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 .