Technical Project Manager

Duties And Responsibilities

• Leads end-to-end project management for technical initiatives, from initiation through delivery, including planning, execution, monitoring, and closure.
• Defines project scope, objectives, success metrics, and deliverables in partnership with business and technical stakeholders.
• Develops and maintains comprehensive project plans, schedules, resource allocation, risk registers, and status reports.
• Captures cross-functional teams including engineering, product, design, QA, data, security, and operations to drive aligned execution.
• Translates business requirements into clear technical requirements, user stories, and acceptance criteria.
• Identifies, assesses, and proactively mitigates project risks, dependencies, and blockers; manages escalations to closure.
• Facilitates Agile ceremonies (daily stand-ups, sprint planning, backlog refinement, retrospectives, demos) or manages traditional Waterfall and hybrid project methodologies as appropriate.
• Makes sure project progress and performance are monitored using metrics, dashboards, and reporting tools to ensure delivery predictability.
• Communicates project status, risks, milestones, and outcomes clearly and concisely to executives, stakeholders, and delivery teams.
• Aligns business priorities with engineering capacity through structured road mapping and release planning.
• Establishes and tracks OKRs, KPIs, and operational health metrics to measure delivery success and business impact.
• Partners with engineering leads on system architecture, technical trade-offs, and feasibility assessments.
• Manages vendor relationships, statements of work, and third-party deliverables when applicable.
• Coordinates release planning, change management, and deployment activities across Dev, QA, UAT, and Production environments.
• Oversees governance, documentation, and audit readiness for projects subject to regulatory or compliance requirements (e.g., SOX, security standards).
• Drives continuous process improvement by identifying inefficiencies and standardizing project management frameworks, runbooks, and templates.
• Supports AI/ML and cloud transformation initiatives by coordinating data, engineering, and platform partners through delivery.
• Safeguards projects comply with company standards, security requirements, architectural guidelines, and software development best practices.
• Provides project effort estimations and contributes to budget planning and tracking.
• Communicates effectively with technical and non-technical groups, both internally and externally.
• Develops and reviews technical and project documentation, including charters, requirements, runbooks, and post-mortems.
• Maintains current knowledge of relevant project management methodologies and emerging technology practices.

Qualifications

• Bachelor's Degree (BA) in Computer Science, Information Technology, Engineering, Business, or related field; or 5+ years of related experience and/or training, or equivalent combination of education and experience.
• 3+ years of project management experience in a technology-driven environment.
• Strong understanding of the Software Development Lifecycle (SDLC), system architecture concepts, and modern application platforms.
• Demonstrated experience leading projects using Agile, Scrum, Kanban, SAFe, and/or Waterfall methodologies.
• Proven ability to manage multiple concurrent projects of varying size and complexity.
• Excellent communication, organization, facilitation, and stakeholder management skills.
• Hands-on experience with project and collaboration tools such as Jira, Confluence, GitHub, Slack, Miro, and Figma.
• Experience defining and tracking KPIs, OKRs, and operational metrics tied to delivery predictability and business outcomes.
• Experience managing risks, dependencies, escalations, and change control across multi-team programs.
• Experience writing and reviewing project documentation, status reports, executive updates, and post-mortems.
• Project Management certification is strongly preferred (PMP, PRINCE2, CSM, SAFe, or similar).
• Experience working in Agile/Scrum environments; Scrum Master experience is a plus.
• Exposure to AI/ML integration strategy and data-driven product delivery is a plus.
• Familiarity with application security principles, secure delivery practices, and Security Technical Implementation Guides (STIG).
• Understanding compliance frameworks such as SOX, SOC 2, or similar is a plus.