Product Director, DevOps & CMO Performance

Job summary

Own end-to-end technology delivery of Mission Control, an AI-led development operations platform that turns study and portfolio data into real-time insight for planning, execution, and monitoring. Set its technical roadmap and lead AI applications from experimentation through production, while overseeing a bi-weekly release cadence, microservices architecture, enterprise integrations, and multi-vendor delivery. Ensure software quality, responsible AI governance, and compliance with GxP requirements in a regulated R&D environment.

Qualifications

• Bachelor's degree or equivalent professional experience in Computer Science, Information Technology, Life Sciences, Engineering, or a related field.
• Substantial product ownership or product management experience delivering complex data or analytics platforms in regulated environments.
• Experience leading AI applications from concept and experimentation through production, adoption, and measurable value.
• Practical understanding of building, validating, deploying, monitoring, and governing AI/ML and statistical models.
• Track record of predictable, short-cycle releases at enterprise scale.
• Working knowledge of development operations, including study start-up, site activation, patient enrolment, and study performance monitoring.
• Experience managing multi-vendor delivery teams, including offshore and nearshore teams.
• Strong Agile product management and full product lifecycle knowledge.
• Working knowledge of GxP, computer system validation, and regulated-system quality requirements.
• Strong stakeholder management and communication skills across technical and business audiences.
• Ability to work in a global, matrixed environment with ambiguity and competing priorities.
• Desirable experience in pharmaceutical R&D technology, AI product development, AI governance, agentic AI, modern data platforms, microservices, or cloud-native delivery.
• Familiarity with Aha!, JIRA, or enterprise portfolio management tools.

Responsibilities

• Own the Mission Control technology roadmap, backlog, and release plan from concept through production.
• Translate business vision into technical roadmaps, epics, features, and acceptance criteria.
• Prioritize work by business value, technical risk, dependencies, and compliance constraints.
• Manage the bi-weekly release cadence, release scope, go/no-go decisions, and post-release reviews.
• Lead AI applications from problem framing and experimentation through production, adoption, and value measurement.
• Integrate AI/ML and statistical models for enrolment forecasting, site selection, risk detection, and performance prediction.
• Partner with data science, biostatistics, and engineering teams on model interfaces, data contracts, validation, monitoring, and retraining.
• Run time-boxed innovation experiments and assess agentic AI and workflow automation opportunities.
• Evolve the modular microservices architecture and manage technical debt and enterprise dependencies.
• Manage delivery partners and monitor scope, throughput, quality, timelines, and delivery performance.
• Ensure GxP, computer system validation, quality, audit, and responsible AI requirements are met.
• Maintain the Definition of Done, technical acceptance gates, release records, and validation artefacts.
• Improve automated testing, CI/CD, and release reliability with QA and DevOps teams.

Skills

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Industry

Relocation