HRS Healthcare

Technical Program Manager

• 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.

Engineer

• Ensure prompt ticket follow up and action for L2 issues, ensuring active work toward resolution while time counting and prompt response to stop clock when need input or action from client; ensure clear info in all tickets and knowledge base update after ticket closure.
• Use your data analytics skills to analyze the automated business processes of our clients and identify and eliminate potential “troublemakers” before they become problems
• Technically extend, improve, and customize automation solutions while maintaining close and regular contact with our clients
• Collaborate with L1 support and development teams to address complex technical challenges.
• Conduct routine maintenance checks on existing automations to ensure optimal performance.
• Coordinate operations and maintenance activities for large client accounts
• Test and optimize the software design, code, and reusability of our automation artifacts
• Apply and further develop best practices for developing automation solutions
• Provide clear and concise communication to end-users and stakeholders regarding issue resolutions and maintenance schedules
• Consult, provide expertise, guidance, and participation during the Onboarding and Service Transition of clients

Managed Services Engineer – UiPath

QA Automation Engineer

• Lead project workstreams, managing the project scope, budget, and timeline
• Analyze data and information, and make recommendations to clients
• Collaborate with other members of the automation team to deliver solutions that address client needs
• Stay up to date on industry trends and best practices, and continuously improve consulting service offerings
• Develop and maintain strong relationships with clients, serving as a trusted advisor to clients

Technical Program Manager

Managed Services Engineer – UiPath

Senior Intelligent Automation Engineer