Senior Program Manager - Client Migrations

Clinisys•Morrisville, NC

1d•Onsite

About The Position

The Senior Program Manager – Integrations owns the delivery of complex, multi‑year enterprise programs that consolidate functionality, data, and workflows across multiple products into the broader Clinisys SaaS platform and technology ecosystem. The role balances strategic intent with disciplined execution, ensuring customer continuity while delivering long‑term value, scalability, and platform alignment. Success in this role is defined by advanced, AI‑enabled program management expertise, strong business acumen, technical fluency, and deep domain understanding. This role drives AI‑first integration solutions, enables sustainable SaaS adoption, protects ARR, reduces customer churn risk, and lowers long‑term cost‑to‑serve through platform consolidation, operational readiness, and governance. The Senior Program Manager operates with credibility at senior and executive levels, clearly communicating strategy, progress, risks, and outcomes while leading large, cross‑functional initiatives across Product, Engineering, Sales, Services, Support, and Customer Success. Clinisys' AI Philosophy: Building an AI-first organization is central to Clinisys’ purpose and the impact we deliver. As a global provider of intelligent diagnostic informatics solutions, we build AI enabled, cloud-based platforms to enhance diagnostic workflows across healthcare, life sciences, and public health. By applying intelligent technology thoughtfully and responsibly, we help laboratories and testing environments operate more effectively, generate meaningful insights at scale, and ultimately support healthier and safer communities. Operating across more than 30 countries, Clinisys expects all colleagues—regardless of role or function—to work confidently with AI enabled tools, apply digital and analytical thinking, and continuously adapt as technologies evolve. We must drive an AI-first sense of purpose and urgency.

Requirements

Bachelor’s degree in Business Administration, Computer Science, Engineering, Healthcare, or a related field (or equivalent experience).
Minimum 7 years of progressive program or project management experience delivering complex software programs, including large initiatives with hundreds of tasks, multiple dependencies, and strict deadlines.
Demonstrated experience leading enterprise scale integrations or platform transitions.
Demonstrated experience using AI‑enabled tools to support program delivery, analytics, automation, or operational decision‑making in a software or technology‑driven environment
Strong Program and Project Management skills; professional certification preferred.
Experience delivering SaaS products within complex or regulated environments.
Direct experience with Laboratory Information Management Systems (LIMS) is required.
Expert knowledge of program and portfolio management principles and governance
Proven ability to manage multiple large‑scale, highly complex programs concurrently
Strong experience applying AI‑enabled tools to improve forecasting, risk detection, reporting, and delivery efficiency
Ability to make informed decisions with incomplete or evolving information
Strong understanding of Agile and hybrid SDLC methodologies
Technical fluency with SaaS platforms, system integrations, and data migration
Strong data literacy and ability to interpret AI‑generated insights
Experience operating in regulated or compliance‑driven environments
Working knowledge of laboratory operations and healthcare or life sciences environments
Exceptional written and verbal communication skills, including executive‑level presentations.
Proven ability to influence without authority and drive outcomes across diverse stakeholder groups.
Strong analytical and problem‑solving skills with the ability to translate complexity into actionable plans.
Excellent relationship‑building and collaboration skills across global, distributed teams.

Nice To Haves

MBA and/or Master’s in Health Administration, Information Management, or Computer Science
Experience supporting go to market activities and working closely with Sales and Marketing.
Experience leading or supporting the delivery of AI enabled or Generative AI product capabilities.
Prior experience in healthcare, laboratory, or life sciences software environments.

Responsibilities

Own end‑to‑end delivery of large, complex, multi‑year integration programs, encompassing scope, schedule, dependencies, risks, issues, change control, and outcomes.
Utilize AI‑enabled planning and collaboration tools to develop, maintain, and actively manage integrated master program plans across multiple workstreams, products, and functional teams.
Apply predictive analytics, historical delivery data, and AI‑assisted insights to proactively identify, assess, and mitigate risks and issues impacting delivery, customer impact, compliance, cost‑to‑serve, or revenue retention.
Facilitate executive‑level decision making by framing tradeoffs, options, and recommendations with clarity and data.
Provide consistent, high‑quality program reporting on milestones, dependencies, risks, and delivery health to senior and executive leadership
Own the multi‑year integration strategy and roadmap to evolve, align, and consolidate product capabilities across the Clinisys portfolio.
Partner with Product and Engineering leadership to define integration approaches, sequencing, and data migration strategies.
Rationalize and consolidate requirements across products to enable scalable, SaaS‑aligned and AI‑first capabilities.
Ensure integration initiatives deliver measurable outcomes including ARR retention, reduced churn risk, improved scalability, and reduced cost‑to‑serve
Own operational readiness of integrated and migrated systems, teams, and processes, ensuring continuity of service, scalability, security, and compliance prior to and through go live.
Partner with Sales to understand the install base, account segmentation, and customer impact of integrations, ensuring readiness plans account for customer risk, revenue protection, and adoption paths.
Support positioning, messaging, demos, and proposal inputs related to integrated and AI enabled solutions by ensuring readiness assumptions, limitations, and dependencies are well understood across teams.
Partner with Services to define delivery and migration approaches, assess skillsets and capacity, and ensure the organization is prepared to execute at scale post integration.
Collaborate with Support and Customer Success to ensure support enablement, service transition, and post go live stabilization plans are in place to mitigate customer risk and improve long term retention.
Drive cross functional alignment across Product, Engineering, Sales, Services, Support, and Customer Success with clear readiness ownership, entry/exit criteria, and risk mitigation plans.
Leverage AI and GenAI tools (e.g., predictive analytics, automation, synthesis) to improve program planning, analysis, documentation, and delivery efficiency.
Ensure AI‑enabled capabilities introduced through integrations deliver measurable operational, customer, or commercial impact.
Collaborate with engineering and governance teams to ensure responsible AI delivery aligned with platform standards.
Serve as the accountable owner for program outcome
Lead and facilitate cross‑functional forums, working sessions, and program reviews.
Communicate complex program scenarios clearly and concisely at the executive level
Resolve conflicts and drive alignment across technical, commercial, and operational teams