Description

Key Responsibilities

• Lead the planning, execution, and delivery of complex technology and application development projects from initiation through implementation.
• Manage project scope, schedule, milestones, dependencies, risks, issues, resources, and deliverables.
• Serve as the primary point of contact between the client, business stakeholders, technology teams, and project leadership.
• Work closely with Java development teams, software architects, engineering teams, QA, DevOps, data teams, and infrastructure teams.
• Provide technical project leadership and demonstrate a strong understanding of Java-based enterprise applications and software development life cycles.
• Translate business requirements and strategic objectives into actionable technology initiatives and project plans.
• Develop and maintain detailed project plans, roadmaps, schedules, status reports, and executive-level presentations.
• Identify project risks, dependencies, and technical challenges and develop appropriate mitigation strategies.
• Facilitate project meetings, architecture discussions, planning sessions, stakeholder reviews, and executive status meetings.
• Monitor project progress and proactively communicate status, risks, issues, and dependencies to stakeholders and leadership.
• Coordinate multiple technical workstreams and ensure alignment across development, testing, infrastructure, security, data, and deployment teams.
• Manage vendor and third-party relationships where applicable.
• Ensure projects follow established SDLC, Agile, Scrum, governance, security, and compliance processes.
• Work with technical leadership to evaluate emerging technologies and identify opportunities for modernization and automation.
• Support the development and execution of an AI/ML roadmap, including identifying business use cases, prioritizing initiatives, defining milestones, and coordinating implementation.
• Collaborate with AI/ML, data, and engineering teams to understand technical requirements, dependencies, and implementation considerations.
• Stay current with emerging technologies, including Generative AI, Large Language Models (LLMs), Machine Learning, automation, and intelligent applications.
• Ensure project deliverables meet quality, security, compliance, and organizational standards.
• Provide regular project reporting and executive-level communication to client leadership.

Required Qualifications

• 12+ years of experience in technical project/program management, technology delivery, or a related field.
• Strong technical understanding of Java/J2EE and enterprise application development.
• Experience working closely with software engineering and development teams.
• Strong understanding of the Software Development Life Cycle (SDLC) and enterprise application architecture.
• Experience with Agile/Scrum methodologies and modern software development practices.
• Demonstrated experience managing complex, enterprise-level technology projects involving multiple teams and stakeholders.
• Strong knowledge of project planning, scheduling, risk management, issue resolution, dependency management, and delivery governance.
• Excellent verbal and written communication skills.
• Ability to communicate effectively with both technical and non-technical audiences, including senior executives and client stakeholders.
• Strong presentation and stakeholder-management skills.
• Ability to manage competing priorities and deliver results in a fast-paced enterprise environment.

AI / Emerging Technology Experience

• Working knowledge of Artificial Intelligence and Machine Learning concepts and technologies.
• Understanding of Generative AI, LLMs, NLP, RAG, AI agents, or intelligent automation is highly desirable.
• Experience contributing to or managing AI/ML initiatives or technology transformation programs.
• Ability to develop and manage an AI technology roadmap, including:
• Identifying and evaluating AI use cases
• Prioritizing initiatives based on business value and feasibility
• Defining implementation milestones and dependencies
• Coordinating technical teams and stakeholders
• Tracking progress and communicating roadmap status to leadership
• Ability to work with technical teams to translate AI concepts and strategies into actionable projects

Key Skills

Education

Bachelor's degree