Description

Key Responsibilities

·  Program Execution: Lead the planning and delivery of cross-functional programs, ensuring projects stay on track across distributed engineering teams. ·  Technical Integration: Deeply understand the Databricks architecture to anticipate dependencies and technical bottlenecks between various platform components. ·  Stakeholder Management: Act as the primary bridge between engineering and business units, translating technical constraints into clear timelines for leadership. ·  Process Optimization: Implement and refine Agile or Kanban workflows to improve team velocity without introducing unnecessary friction. ·  Risk Mitigation: Proactively identify "red flags" in the development cycle, conducting root-cause analysis for blockers and driving resolution. Required Qualifications ·  Technical Background: A Bachelor’s degree in Computer Science, Business, Engineering, or a related field, with the ability to engage in "whiteboard" discussions with senior engineers. ·  Domain Expertise: Familiarity with Big Data technologies (Spark, SQL), Cloud Infrastructure (AWS, Azure, or GCP), and AI/ML workflows. ·  Experience: 5+ years of experience in technical program/project management, preferably with Big Data and Financial Services background ·  Analytical Mindset: Proficiency in using data-driven tools (Jira, Confluence) to track metrics and report on program health

Key Skills

Education

Bachelor's degree