Jobs · Project Management · California

Technical Project Manager III - Application Owner, Risk & SDLC Support

hackajob · Irvine, CA · 1 wk ago
On-siteProject ManagementFull-time

Job responsibilities

  • Partner with the Application Owner to analyze and break down complex security, technical, and operational objectives into manageable tasks, applying critical thinking and problem-solving skills.
  • Support end-to-end remediation of FARM (Findings & Risk Management) security findings by triaging by severity (S1-S5) and SLA, coordinating fixes with engineering teams, tracking due dates, and driving findings to closure.
  • Help manage the vulnerability remediation program by prioritizing risk, coordinating upgrades, and maintaining clear status and evidence trails.
  • Aid in PDLC/SDLC governance by tracking releases, sprint health, commit trends, and delivery milestones; helping maintain Jira workflows, automation rules, and project governance for the InstaMed program.
  • Support Problem and Change Management activities, including coordinating ServiceNow change requests, tracking incidents and problem records, and ensuring follow-through on corrective actions.
  • Produce clear, concise, and compelling status communications and dashboards across varied mediums (executive summaries, Confluence pages, Excel/PowerPoint reports, and email) translating technical detail for non-technical and leadership audiences.
  • Participate in stakeholder management, fostering productive working relationships with cross-functional engineering, product, operations, audit, and business stakeholders to drive mutually beneficial outcomes.
  • Aid in risk management by helping make informed, well-documented decisions in line with the firm's risk-management practices and policies, ensuring program success and compliance.
  • Help optimize allocated resources (people, time, and tooling) to plan, schedule, and progress remediation and delivery initiatives, including supporting automation that reduces manual effort.
  • Uses enterprise-authorized AI capabilities within the work environment to accelerate project planning and risk synthesis (e.g., drafting plans, RAID, and status narratives), validating outputs and handling data according to sensitivity requirements.
  • Promotes reuse-first, AI-assisted practices for project governance artifacts and reporting, ensuring human review and alignment to delivery standards.

Required qualifications, capabilities, and skills

  • 3+ years of experience or equivalent expertise in technical program/project management, supporting complex technology projects and programs in a fast-paced environment.
  • Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support technical program management workflows with strong validation habits and awareness of data sensitivity.
  • Ability to review and validate AI-assisted plans, risks, and recommendations before use, escalating when uncertain and following data handling expectations.
  • Proven ability to use analytical reasoning and problem-solving techniques to break objectives down into manageable tasks and track them to completion.
  • Demonstrated technical proficiency and a functional understanding of the software delivery lifecycle (SDLC/PDLC), application security concepts, and risk/findings management.
  • Exceptional written and verbal communication skills, with the ability to translate technical content into clear, concise updates for technical and non-technical audiences.
  • Experience working with diverse stakeholders and establishing productive working relationships with cross-functional teams, clients, and program governance.

Preferred qualifications, capabilities, and skills

  • Financial Services or healthcare payments background.
  • Familiarity with security and risk concepts - vulnerability/CVE remediation, FARM or equivalent findings systems, and audit/compliance frameworks (SOC 2, PCI DSS, NIST, ISO 27001, HITRUST).
  • Exposure to cloud (AWS), CI/CD, and Bitbucket/Git-based development workflows.
  • Experience with automation and scripting (e.g., Python) and AI tools such as Claude Code and LLMs to streamline reporting and remediation workflows.
  • Advanced PowerPoint, dashboarding, and data-visualization skills.

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