Delivery Lead - Data and AI
New
C
Compass GroupData and AI
REMOTE, GA, US, REMOTEFull-TimeLead
Salary100,000 - 130,000 USD per year
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Job Details
- Experience
- 4–6+ years of experience
- Required Skills
- SQLBusiness AnalysisProduct ManagementSnowflakeStakeholder managementAzure DevOps
Requirements
- Bachelor's degree in Economics, Business, Analytics, Information Systems, Engineering, or a related field, or equivalent experience.
- 4–6+ years of experience in Product Management, Product Ownership, Delivery Management, Business Analysis, Program Coordination, Analytics Delivery, or a similar role supporting technology and data initiatives.
- Experience partnering with business and technical teams to deliver analytics, reporting, AI, or cloud data platform solutions.
- Ability to translate business objectives into clear requirements, implementation plans, and actionable work for technical teams.
- Strong stakeholder management, communication, facilitation, and organizational skills.
- Analytical mindset and ability to solve complex business problems using data.
- Ability to coordinate multiple initiatives simultaneously while balancing competing priorities.
- Comfort working in fast-paced environments with evolving priorities and ambiguity.
- Preferred: experience with Snowflake, dbt, SQL, Power BI, or similar technologies.
- Preferred: familiarity with data governance, metadata management, data catalog platforms such as Secoda, or enterprise data management practices.
- Preferred: experience using Azure DevOps, Jira, or similar work management platforms.
Responsibilities
- Lead the intake, planning, and coordination of enterprise Data & AI initiatives from concept through delivery.
- Partner with business stakeholders to understand priorities, define business outcomes, and translate opportunities into actionable work for technical teams.
- Connect business stakeholders and technical teams to coordinate, prioritize, and deliver work.
- Collaborate with Analytics Engineers, Data Engineers, Architects, Product Managers, and business leaders on data products, analytics solutions, AI capabilities, and enterprise reporting.
- Work with engineering teams to define requirements, acceptance criteria, implementation approaches, and delivery priorities.
- Facilitate planning and progress sessions, identify dependencies, remove blockers, and track delivery using tools such as Azure DevOps and Jira.
- Partner with Data Governance, Security, Architecture, and Legal teams on data access, sharing, metadata, governance, and compliance processes.
- Communicate priorities, project status, risks, dependencies, and recommendations to technical teams, business stakeholders, and leadership.
- Improve delivery processes, stakeholder engagement, portfolio planning, and governance practices across the Data & AI organization.
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