Technical Program Manager

Accountabilities: Manage request intake and prioritization: Serve as the primary point of contact for data requests across business units, establishing consistent processes for submitting, evaluating, and prioritizing work. Translate business needs into technical requirements: Convert stakeholder requests into sprint-ready tickets with clearly defined scope, acceptance criteria, dependencies, and business impact that can be understood by engineers and AI coding agents. Challenge requirements constructively: Clarify underlying business needs, distinguish genuine urgency from perceived urgency, and negotiate realistic deadlines or phased solutions based on engineering capacity. Coordinate sprint planning and roadmaps: Partner with Data Engineering leadership to plan sprints and quarterly roadmaps while balancing immediate business needs, platform reliability, technical debt, and long-term value. Maintain roadmap visibility: Keep Jira epics, backlogs, and roadmap documentation accurate and up to date so stakeholders and leadership can easily track priorities, timelines, and progress. Manage dependencies and risks: Coordinate deliverables across departments, technology teams, and external vendors, identifying potential conflicts and escalating risks before they affect delivery. Prioritize across business units: Take an enterprise-wide view of competing requests, identify shared priorities and duplicate efforts, and find opportunities to develop solutions that benefit multiple teams. Track delivery and communicate progress: Monitor commitments against engineering capacity, proactively communicate status updates, and flag changes in scope, timelines, or delivery risks. Improve program management processes: Develop and refine intake workflows, ticket templates, documentation standards, and AI-assisted processes to improve the quality and efficiency of work management. Support team leadership: Lead and supervise team members when required by business needs to support successful program execution. Requirements: Professional experience: At least 8 years of experience in technical project management, program management, or implementation management, including at least 2 years supporting data, analytics, or engineering teams. Education: Bachelor's degree required; a degree in Information Systems, Computer Science, Analytics, Business, or a related discipline is preferred. Requirements gathering: Proven ability to work with non-technical stakeholders and translate business objectives into well-defined technical requirements and acceptance criteria. Project management tools: Strong experience with Jira, including backlogs, epics, sprints, and workflows, as well as familiarity with roadmap or work management tools such as Monday.com. Cross-functional coordination: Demonstrated ability to manage dependencies, risks, deadlines, and competing priorities across multiple teams. Data platform knowledge: Experience in a data warehouse environment through data engineering, analytics, or data warehouse project management is preferred. Modern data stack familiarity: Knowledge of technologies such as Snowflake, dbt, Dagster, or Fivetran is an advantage. Technical understanding: Working knowledge of data pipelines and warehouse concepts, including data ingestion, orchestration, transformation, modeling, and quality, sufficient to scope requests and communicate credibly with engineers. SQL proficiency: Working knowledge of SQL to explore data, validate requirements, and confirm that delivered solutions meet business needs. AI tools and workflows: Demonstrated proficiency with AI tools, including building repeatable workflows and preparing actionable tickets for AI coding agents, with the judgment to validate AI-generated outputs against actual data and business requirements. Strategic decision-making: Strong business acumen and the ability to evaluate priorities across business units, balance trade-offs, and make recommendations based on organizational value and available capacity. Communication and stakeholder management: Excellent written and verbal communication skills, with the ability to explain technical issues clearly to engineers, business stakeholders, and executive leadership. Collaboration and ownership: A proactive, organized approach to following work through to completion, maintaining visibility into progress, and working collaboratively with engineering teams. Professional resilience: Ability to manage multiple projects in a fast-paced, high-volume environment, navigate difficult discussions calmly, and respond constructively to feedback. Preferred certifications: Agile, Scrum, or project management credentials such as CSM or PMP. Preferred industry experience: Experience in financial services or related industries is an advantage. Work availability: Ability to commit to a full-time position and consistently meet performance expectations. Benefits: Competitive compensation: Annual salary range of $135,000–$155,500 USD, with individual compensation determined by role-related factors and applicable considerations. Medical coverage: Medical insurance benefits. Dental and vision coverage: Access to dental and vision benefits. Retirement savings: 401(k) plan with employer matching. Paid time off: Paid holidays, vacation, sick days, and volunteer time off. Paid parental leave: Up to 12 weeks of paid parental leave. Life insurance: Life insurance benefits at no cost. Commuter support: Pre-tax transit benefits. Additional coverage options: Access to voluntary benefits and a discount on ASPCA pet health insurance. Wellness support: Wellness incentive program. Professional growth: Employee mentorship and leadership development programs. Remote work: Remote opportunity within the United States.