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HRS Healthcare

Your Healthcare Recruitment Specialists

Technical Program Manager

Technical Program ManagerTechnical Program ManagerFull TimeRemoteLeadTeam 1-10H1B No SponsorCompany SiteLinkedIn

Location

Mexico

Posted

101 days ago

Salary

0

Seniority

Lead

Bachelor Degree10 yrs expEnglishBigQueryCloudGoogle Cloud PlatformPMPRPA

Job Description

Technical Program Manager

HRS Healthcare

• 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.

Job 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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