Project Manager - Agile
Technology, Data & Digital · Software & Web Development · Software Engineering · Data Science · Project Management
In short
Seeking an experienced Agile Project Manager with 12-16+ years in end-to-end technology delivery, focusing on complex engineering and transformation roles. This position requires strong AI/ML technical expertise, experience with data platforms, and leadership in cross-functional and vendor management. Experience in regulated industries is a plus.
Responsibilities
- Own and drive end-to-end delivery outcomes in complex, cross-functional environments.
- Manage delivery governance, RAID, program cadence, and execution frameworks.
- Remove impediments and drive accountability.
- Challenge and influence engineering and architecture decisions related to AI/ML components, data pipelines, and model serving infrastructure.
- Anticipate issues early, lead cross-team resolution, and manage escalations.
- Translate complex technical risks into clear business impacts and present actionable choices.
- Ensure delivery relevance and prioritize work based on business impact.
Requirements
- 12-16+ years of proven experience owning end-to-end technology delivery outcomes in complex engineering or transformation roles.
- Direct accountability for delivery results, working closely with engineering and architecture teams.
- Experience leading cross-functional delivery in matrixed organizations and managing third-party vendor performance.
- Strong, demonstrable experience in AI and automation initiatives, including designing or delivering AI/ML-enabled features, integrating ML models into production, or leading intelligent automation programs.
- Hands-on experience in AI/ML concepts with experience in model development, integration, and productionization.
- Deep understanding of data platforms and analytics stacks underpinning AI/ML solutions.
- Familiarity with ML lifecycle management, MLOps patterns, and relevant tooling.
- Solid grasp of integrations, system architecture, security, and non-functional requirements.
- Proven capability to anticipate issues early, lead cross-team resolution efforts, and manage critical escalations.
- Strong presence and influence with senior stakeholders.
- Sufficient domain knowledge to ensure delivery relevance and prioritize work based on business impact.
Desired Qualifications
- Relevant domain expertise preferred; experience in regulated industries such as insurance or finance is an advantage.
- Degree in Computer Science, Engineering, or equivalent technical background.
- Certifications in delivery/program management or architecture are beneficial but not mandatory.
- Practical, multi-layered approach to identifying and mitigating AI-driven risks such as hallucinations, inadequate guardrails, and data security concerns.
- Ability to interrogate technical designs, quantify implementation risks, and communicate these effectively to business stakeholders.
- Comfortable making pragmatic trade-offs under pressure to protect delivery outcomes.
- Skilled at leading without direct authority.
Benefits
- Supercharge your potential at HCLTech.
- Find your career and spark at HCLTech.
- HCLTech puts its people first.
- Global technology company with 223,000+ employees across 60 countries.
- Industry-leading capabilities centered around digital, engineering, cloud, and AI.
#Agile#Project Management#AI#ML#Data