Technical Delivery Lead / Scrum Master (Investment Data Projects)
This role leads end-to-end technical delivery for investment data projects, coordinating production releases and agile ceremonies. The ideal candidate has deep experience in data architecture, enterprise data platforms, and financial services. They will collaborate with cross-functional teams to ensure high-quality, timely project delivery.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
Job Title: Technical Delivery Lead (Investment Data Projects)
Location: San Francisco, CA (Hybrid)
Work Authorization
- USC/GC/EAD
- W2 Only (H1B sponsorship available)
- No C2C candidates
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Responsibilities
- Develop and maintain a strong understanding of technical architecture within data platforms and enterprise data ecosystems.
- Coordinate and manage end-to-end technical delivery activities, including production release planning and deployment support.
- Facilitate daily Scrum ceremonies, sprint planning, backlog grooming, and retrospectives using Jira.
- Collaborate with engineering, QA, business, and operations teams to ensure timely and high-quality project delivery.
- Support data analysis activities and contribute to architecture discussions and solution design reviews.
- Track sprint progress, manage risks/issues, and ensure alignment with Agile best practices.
- Work closely with stakeholders to translate business requirements into technical delivery plans.
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- 15+ yrs of overall IT experience
- 7+ yrs as technical project manager, scrum master or release manager focusing on data focused projects
- 5+ years in the Investment Management or Financial Services domain.
- Strong understanding of technical architecture in data-driven environments.
- Experience coordinating technical releases and deployments to production environments.
- Hands-on experience working in Agile/Scrum delivery models.
- Proficiency in using Jira for sprint and project management.
- Good understanding of data analysis concepts, data flows, and enterprise data architecture.
- Excellent communication, coordination, and stakeholder management skills.
- Ability to manage multiple priorities and work effectively in fast-paced environments.
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- Familiarity with enterprise data platforms, cloud data ecosystems, and reporting environments.
- Scrum Master certification or Agile-related certifications are a plus.
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