Senior Program Manager - New Product Introduction

Clinisys•Morrisville, NC

2d•Onsite

About The Position

The Senior Program Manager - New Product Introduction is a senior, enterprise-level program leadership role responsible for translating product strategy into successful, repeatable market introductions. The role owns end-to-end orchestration from concept and development through release, operational readiness, market launch, adoption, and post-launch stabilization for complex healthcare software products and SaaS capabilities. Success in this role is defined by disciplined execution, strong business acumen, technical and product fluency, cross-functional influence, and the ability to anticipate and resolve readiness gaps before they affect customers, compliance, revenue, or adoption. The Senior Program Manager establishes integrated plans, aligns decision makers, drives accountability, and ensures that each introduction is commercially, operationally, technically, and organizationally ready. This role requires credibility with senior and executive leadership and the ability to clearly communicate strategy, progress, risks, tradeoffs, and outcomes while leading initiatives across Product, Engineering, Quality and Regulatory, Marketing, Sales, Services, Support, Customer Success, and other enabling functions. 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

Expert knowledge of program and portfolio management principles, practices, governance, controls, and reporting.
Proven ability to lead multiple large-scale initiatives concurrently with significant complexity, ambiguity, and cross-team dependencies.
Expertise in integrated planning, critical-path analysis, dependency management, risk and issue management, change control, and benefits realization.
Ability to maintain momentum and make informed recommendations when information is incomplete or evolving.
Strong facilitation, negotiation, decision-framing, and conflict-resolution skills.
Demonstrated knowledge of new product introduction, launch management, operational readiness, go-to-market coordination, adoption, and post-launch stabilization.
Ability to evaluate whether the product and the organization are ready to launch, including customer-facing and internal operating impacts.
Strong business acumen and ability to connect program decisions to market, customer, revenue, retention, scalability, and cost outcomes.
Customer-focused judgment and the ability to anticipate implementation, support, adoption, and continuity risks.
Strong understanding of modern software development methodologies, Agile and hybrid delivery models, SDLC, release management, and product lifecycle management.
Technical fluency with SaaS platforms, cloud delivery, system integrations, APIs, enterprise software, data migration, and deployment concepts.
Ability to translate effectively among product, engineering, quality, commercial, services, support, and executive audiences.
Strong data literacy, including interpretation of delivery metrics, trends, forecasts, and AI-assisted insights.
Experience operating in regulated or compliance-driven software environments; healthcare, laboratory, or life sciences knowledge is strongly preferred.
Systems thinker who recognizes downstream impacts and manages the full launch ecosystem.
Proactive and outcome-oriented leader who identifies risk early and drives action to closure.
Calm, decisive, and adaptable when priorities, scope, or launch conditions change.
Highly organized, transparent, and disciplined without creating unnecessary process overhead.
Exceptional written and verbal communication skills, executive presence, and ability to influence without authority.
Continuous-improvement mindset with a strong commitment to retrospectives, lessons learned, and repeatable launch practices.
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 new product introductions, enterprise software launches, or major product releases from planning through adoption and stabilization.
Demonstrated experience coordinating cross-functional delivery across Product, Engineering, Quality and Regulatory, Marketing, Sales, Services, Support, and Customer Success.
Experience delivering SaaS products in a complex or regulated environment.
Demonstrated use of AI-enabled tools for planning, analytics, automation, risk management, reporting, or operational decision-making.
Strong program and project management skills; professional certification preferred.

Nice To Haves

MBA and/or master’s degree in Health Administration, Information Management, Computer Science, Engineering, or a related discipline.
Experience with healthcare, laboratory, or life sciences software and working knowledge of laboratory operations.
Experience with Laboratory Information Management Systems or related diagnostic informatics solutions.
Experience leading global launches, phased market introductions, customer migrations, or platform transitions.
Experience supporting go-to-market activities and working closely with Marketing and Sales.
Experience leading or supporting AI-enabled or Generative AI product capabilities.

Responsibilities

Own end-to-end delivery of complex new product introductions from approved concept through development, release, market launch, adoption, and post-launch stabilization.
Develop, maintain, and actively manage integrated master plans across product, engineering, quality, regulatory, commercial, operational, and customer-facing workstreams.
Manage scope, schedule, milestones, interdependencies, decisions, risks, issues, assumptions, resources, change control, and measurable outcomes.
Coordinate multiple releases or launch increments within the same product strategy while maintaining a coherent readiness and market-introduction plan.
Frame tradeoffs, options, and recommendations to facilitate timely executive decisions.
Provide concise, data-driven reporting on delivery health, readiness, decisions, risks, and outcomes to senior and executive leadership.
Partner with Product and Engineering leadership to translate product strategy, target-market needs, roadmap commitments, and release objectives into executable program plans.
Ensure program scope, launch sequencing, customer value, adoption objectives, and success measures are explicit and aligned across stakeholders.
Connect roadmap and release decisions to customer impact, revenue, retention, scalability, cost-to-serve, and strategic portfolio outcomes.
Maintain alignment between product definition, technical delivery, validation, documentation, commercial commitments, and launch timing as information evolves.
Own the integrated readiness framework and ensure clear accountability, evidence, and acceptance criteria across all participating functions.
Coordinate product, technical, quality and regulatory, security, deployment, documentation, training, support, services, data migration, commercial, and customer readiness.
Partner with Product Management, Marketing, and Sales to align positioning, messaging, launch assets, demonstrations, proposals, pricing dependencies, market engagement, and customer communications.
Partner with Services, Support, and Customer Success to establish implementation approaches, enablement, capacity, service transition, escalation paths, and stabilization plans.
Identify readiness gaps early, drive corrective actions, and escalate unresolved risks with clear customer and business impact.
Ensure launch decisions are based on transparent evidence of delivery and organizational readiness rather than schedule status alone.
Ensure introduction plans reflect install-base considerations, customer segmentation, deployment paths, migration needs, and change impacts.
Define and monitor launch and adoption measures in partnership with business and product owners.
Lead post-launch stabilization reviews, lessons learned, and corrective actions to strengthen subsequent releases and introductions.
Ensure ownership is established for benefits realization, unresolved risks, customer commitments, and transition to ongoing product operations.
Use AI and GenAI capabilities, predictive analytics, automation, and synthesis to improve planning, forecasting, risk detection, documentation, reporting, and decision quality.
Apply historical delivery data and leading indicators to identify emerging delivery and readiness risks.
Evaluate AI-generated insights for accuracy, limitations, and responsible use within regulated or quality-controlled environments.
Promote measurable productivity and process improvements without disrupting effective team delivery practices.
Serve as the accountable program leader for outcomes while maintaining clear functional ownership for deliverables and decisions.
Lead cross-functional forums, readiness reviews, working sessions, executive updates, and decision-making discussions.
Influence without authority, resolve conflict, and create alignment across technical, commercial, quality, and operational stakeholders.
Communicate complex scenarios clearly, concisely, and with the appropriate customer, business, technical, and compliance context.
Establish a culture of transparency, accountability, constructive challenge, and proactive risk management.