Technical Program Manager

Role Overview

• Own end-to-end program governance — establishing the PMO structure, governance forums, and reporting cadences. Define and manage the integrated program plan across all AI workstreams (Generative AI, Data Science, GCP infrastructure, integrations), tracking milestones, dependencies, and critical path.
• Run project planning, reviews, and RAG with technical leads; maintain velocity metrics and remove blockers.
• Ensure all deliverables are tracked against scope, schedule, budget, and quality criteria, with proactive escalation of deviations.
• Maintain program documentation — charter, WBS, RACI, status reports, and decision logs — to the highest standards.
• Own the program RAID log.
• Proactively identify, assess, and prioritise risks across all workstreams with clear ownership and mitigation plans.
• Design and enforce the change control process — evaluating scope changes for impact on timeline, budget, and resources before presenting recommendations to the steering committee. Establish escalation pathways and manage critical issues to resolution.
• Conduct regular risk workshops to embed a risk-aware culture within the delivery team.
• Serve as the primary point of contact for CLIENT's program stakeholders — building trusted relationships with business sponsors, technology executives, and operational teams.
• Prepare and present executive-level status reports, steering committee packs, and milestone reviews to senior leadership.
• Facilitate alignment between CLIENT's internal teams and the delivery organisation, managing expectations and resolving conflicts. Conduct regular CSAT assessments and act on feedback to continuously improve the engagement model.
• Own resource planning across the program — forecasting demand, managing onboarding/offboarding, and ensuring the right skills are available across all workstreams.
• Track utilization, manage bench transitions, and coordinate with HR and recruitment for timely fulfilment of open roles.
• Foster a high-performance, distributed team culture — supporting wellbeing, recognizing contributions, and maintaining morale.
• Own the program budget — tracking actuals against forecast, managing contingency, and producing monthly financial reports for internal and client governance.
• Identify and escalate budget risks early; implement corrective actions to maintain P&L health.
• Support commercial activities including SOW management, change order negotiations, invoice tracking, and contract renewals.
• Contribute effort estimates, resource plans, and delivery timelines to pre-sales and solutioning for new workstreams or extensions.
• Maintain working knowledge of the GCP and Google AI stack — including Vertex AI, BigQuery, and associated data and ML services — to effectively govern delivery across infrastructure, model development, and integration workstreams.
• Oversee delivery of intelligent automation and RPA workstreams — understanding bot lifecycle management, exception handling frameworks, orchestration platforms, and the interplay between RPA, AI, and enterprise systems.
• Adapt PM practices to the non-linear, iterative nature of ML and AI delivery — managing experimentation phases, data dependency risks, model validation cycles, and the transition from prototype to production.
• Act as a translator and bridge between business stakeholders who think in outcomes and technical teams who think in architectures — facilitating shared understanding and aligned decision-making across both worlds.
• Establish and track program KPIs and OKRs; produce regular insights on delivery health, team performance, and program ROI.
• Lead retrospectives and implement lessons learned to build a culture of continuous improvement.
• Contribute to internal PM frameworks, playbooks, and templates for AI program delivery — creating reusable assets for future engagements.
• Represent the organisation in client QBRs, program audits, and governance reviews, maintaining the program's compliance posture at all times.

Requirements

• Bachelor's or Master's degree in Engineering, Computer Science, Business Administration, or a related field.
• 10+ years of project/program management experience with at least 5 years managing large-scale digital transformation, cloud, or AI/ML programs.
• Demonstrated experience managing enterprise client engagements in a consulting or system integrator environment — ideally at a global technology firm.
• Strong understanding of AI/ML delivery lifecycles — including data preparation, model development, MLOps, and LLM integration — sufficient to manage technical teams and client expectations effectively.
• Proven track record of managing cross-functional teams of 15+ people across multiple concurrent workstreams.
• Hands-on experience with Agile, Scrum, and SAFe delivery frameworks; comfortable operating in hybrid Agile-Waterfall environments.
• Experience with program financials — budget ownership, P&L tracking, and commercial/contract management.
• PMP, PRINCE2, PgMP, or equivalent program management certification is strongly preferred; Agile certifications (SAFe SP, CSM) are a plus.
• Exceptional communication and executive presentation skills — able to adapt style for engineering teams, business sponsors, and C-suite audiences.
• Proficiency with delivery tooling: JIRA, Confluence, MS Project, Smartsheet, Google Workspace; familiarity with reporting tools (Looker, PowerBI) preferred.

Tech Stack

• BigQuery
• Cloud
• Google Cloud Platform
• PMP
• RPA

Benefits

• Health, Dental and Vision Insurance
• Life insurance
• 401(K)
• Monthly cell phone and internet stipend
• Flexible PTO / Unlimited vacation policy
• Recognition and rewards for individual and team achievements
• Employee referral program with bonus opportunities