
Data Project Manager

Care Access
Summary
Join Care Access's Data Engineering team as a Data Project Manager to lead Agile ceremonies, foster collaboration, and build scalable data pipelines and analytics tools. You will drive team productivity, manage backlogs, translate business requirements into technical specifications, and ensure quality deliverables. The ideal candidate possesses a deep understanding of Agile principles, excels in team facilitation, and has hands-on experience with Python, SQL, Databricks, and Azure. This remote position requires less than 10% travel. The role involves working with data engineers and architects to understand technical workflows and dependencies. You will also assist with additional projects such as report design and data maintenance.
Requirements
- Excellent communication, conflict resolution, and stakeholder engagement skills
- Ability to work effectively in a fast-paced and mission-driven environment
- Bachelorβs degree in computer science, information systems, data analytics, systems engineering, or related field
- 3+ years of experience as a Scrum Master or Agile Delivery Lead, preferably with data or software engineering teams
Responsibilities
- Lead all Agile ceremonies including daily standups, sprint planning, backlog refinement, reviews, and retrospectives
- Serve as a servant leader and coach to ensure Agile best practices are effectively implemented across the team
- Use JIRA and Confluence to manage and visualize work, ensuring accurate tracking of epics, user stories, tasks, and bugs
- Promote continuous improvement and help the team increase velocity without compromising quality
- Partner with Product Owners and technical leads to manage a well-prioritized backlog aligned with business goals
- Capture requirements from business stakeholders and translate them into working specifications for engineers
- Proactively identify blockers and impediments, resolving them quickly or escalating when necessary
- Ensure the team is focused, supported, and working effectively toward sprint commitments
- Track delivery metrics and guide data-driven decision-making
- Support testing efforts by ensuring quality deliverables have been completed in the way it was intended
- Collaborate with data engineers and architects to understand technical workflows, tools, and dependencies
- Support teams building within Databricks, dbt, Azure resources, and related services
- Understand and speak to technical dependencies in pipelines written in Python/pySpark and SQL
- Ensure Scrum ceremonies align with the iterative delivery cycles typical in data engineering environments
- Assist with additional projects such as report design, data maintenance, etc
Preferred Qualifications
Certified Scrum Master (CSM), PMI-ACP/PMP, or equivalent certification
Benefits
- Paid Time Off (PTO) and Company Paid Holidays
- 100% Employer paid medical, dental, and vision insurance plan options
- Health Savings Account and Flexible Spending Accounts
- Bi-weekly HSA employer contribution
- Company paid Short-Term Disability and Long-Term Disability
- 401(k) Retirement Plan, with Company Match
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