Delivery Leader - AI & Digital Transformation in London

Delivery Leader - AI & Digital Transformation in London

London Full-Time 80000 - 100000 Β£ / year (est.) No working from home possible
N

At a Glance

  • Tasks: Lead AI and digital transformation programs in Pharma and Clinical environments.
  • Company: Join a leading firm driving innovation in healthcare technology.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Dynamic role with a focus on collaboration and continuous improvement.
  • Why this job: Make a real impact in the future of healthcare with cutting-edge AI solutions.
  • Qualifications: 12+ years in delivery management, with expertise in AI and Pharma sectors.

The predicted salary is between 80000 - 100000 Β£ per year.

This role leads delivery of Pharma and Clinical transformation programs in regulated environments, with responsibility for portfolio governance, stakeholder management, and execution of AI and digital initiatives. The person will coordinate cross-functional teams, manage risks and dependencies, and ensure programs are delivered on time, within compliance, and aligned to business goals.

Job Locations: Noida, Bangalore

Key Responsibilities:

  • Pharma & Clinical Domain Delivery
    • Manage delivery of programs within regulated GxP environments
    • Oversee transformation programs across Clinical Data Management and safety systems
    • Collaborate with Regulatory, Quality, Medical Affairs, and Clinical Operations stakeholders to align delivery outcomes with business-critical compliance requirements
  • Multi-Program Portfolio Governance
    • Own and govern a portfolio of concurrent programs spanning Pharma, Clinical, and R&D domains, ensuring delivery alignment to strategic objectives
    • Establish and chair Program Steering Committees, managing executive-level reporting, escalations, and governance cadences
    • Define and enforce delivery standards, stage gates, and KPIs across all programs in the portfolio
    • Manage inter-program dependencies, risk registers, and resolution of cross-program blockers
  • AI & Digital Transformation Leadership
    • Lead end-to-end delivery of AI-powered transformation programs including GenAI, ML model deployment, intelligent automation, and advanced analytics platforms
    • Partner with AI Architects, Data Scientists, and Product teams to translate AI strategy into delivery roadmaps and executable plans
    • Oversee deployment of AI use cases across Clinical Trial Operations, Drug Discovery, Regulatory Affairs, Pharmacovigilance, and R&D pipelines
    • Champion a culture of innovation, experimentation, and responsible AI within delivery teams
  • Stakeholder & Executive Engagement
    • Act as the primary point of contact for C-suite and senior stakeholder communities
    • Build and sustain trusted relationships with business sponsors, technology partners, and regulatory bodies
    • Communicate program status, risks, financials, and strategic recommendations with clarity and confidence
    • Lead change management and business readiness activities to drive adoption of transformed capabilities
  • Team Leadership & Delivery Excellence
    • Lead, mentor, and develop high-performing delivery teams across onshore, offshore, and hybrid models
    • Establish agile, scaled agile (SAFe), and hybrid delivery frameworks appropriate to the program context
    • Drive continuous improvement through lessons learned, retrospectives, and delivery maturity assessments

Required Qualifications & Experience:

  • Experience
    • 12+ years of progressive delivery management experience, with at least 5 years managing multi-program portfolios of significant scale and complexity
    • Demonstrable experience delivering AI, machine learning, or intelligent automation programs in a commercial setting
    • Deep expertise in Pharmaceutical, Clinical Research, or R&D environments with strong understanding of drug development lifecycle
    • Proven ability to deliver in regulated environments
    • Track record of delivering end-to-end digital transformation programs from strategy through to adoption
  • Technical Skills
    • Hands-on understanding of GenAI, ML pipelines, RAG architectures, NLP, computer vision, and AI governance frameworks
    • Data governance, MDM, API-led integration, data lake/warehouse architectures, real-world data (RWD)
    • Veeva Vault, Oracle Clinical, Argus Safety Clinical Systems
    • Jira, Confluence, MS Project, Azure DevOps, ServiceNow
  • Soft Skills & Leadership Attributes
    • Exceptional stakeholder management and executive communication skills
    • Strong strategic thinking and the ability to translate vision into executable delivery plans
    • High emotional intelligence, resilience under pressure, and comfort with ambiguity
    • Collaborative leadership style with the ability to influence without authority
    • Strong commercial acumen with a benefit-realization mindset

Preferred Qualifications:

  • PMP, PgMP, or MSP certification
  • SAFe Program Consultant (SPC), Agile Coach, or equivalent agile certification
  • MBA or advanced degree in Life Sciences, Computer Science, Engineering, or Business
  • Experience working with CROs, CDMOs, regulatory agencies, or global pharma partners
  • Six Sigma, PRINCE2, or ITIL certification desirable

Delivery Leader - AI & Digital Transformation in London employer: Navikenz

As a Validation Lead at our company, you will thrive in a dynamic and supportive work environment that prioritises employee growth and development. Located in the heart of London, we offer competitive benefits, a collaborative culture, and unique opportunities to engage with cutting-edge AI technologies in the pharma sector, ensuring your contributions are both meaningful and impactful.

N

Contact Details:

Navikenz Recruitment Team

We think you need these skills to ace Delivery Leader - AI & Digital Transformation in London

Delivery Management
Portfolio Governance
Stakeholder Management
AI and Digital Transformation
Regulated GxP Environments
Clinical Data Management
Risk Management