Technical Program Manager
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Job Description
Technical Program Manager overseeing AI project governance and delivery at Roboyo. Managing cross-functional teams to meet strategic AI goals and objectives.
Responsibilities:
- 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 prioritize 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 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 organization, managing expectations and resolving conflicts.
- 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 fulfillment of open roles.
- Foster a high-performance, distributed team culture — supporting well-being, 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 presales 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.
- Understand the unique delivery dynamics of agentic AI programs — including multi-agent orchestration, tool-use design, prompt engineering cycles, and the governance considerations around autonomous decision-making systems.
- 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 organization 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 lifecycle — 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.
Benefits:
- 100% payroll + benefits by law
- Work from home (Anywhere in México)
- 30-day Christmas bonus
- 16 vacation days
- 1 economic day a year
- Grocery coupons
- Savings fund
- Home office stipend
- Major medical insurance
- Life insurance
- Training & certifications
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