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Delivery Leader - AI & Digital Transformation

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Director, Pharma & Clinical Transformation – AI & Digital Delivery
About the Role
The Director of Pharma & Clinical Transformation leads the delivery of AI and digital initiatives within regulated environments, with responsibility for portfolio governance, stakeholder management, and end-to-end execution of transformation programs. This critical role ensures compliance, alignment with business goals, and timely delivery across pharma, clinical, and R&D domains.
The ideal candidate will:
- Oversee multi-program governance across Clinical Data Management, safety systems, and AI-powered initiatives.
- Bridge regulatory, quality, medical, and operational stakeholders to deliver business-critical outcomes.
- Drive innovation in AI/GenAI, ML, and advanced analytics while ensuring responsible, scalable execution.
- Act as the primary interface between executives, delivery teams, and strategic partners.
Key Responsibilities
Pharma & Clinical Domain Delivery
- Manage program delivery in GxP (regulated) environments, ensuring compliance and quality.
- Lead Clinical Data Management and pharmacovigilance transformation initiatives.
- Collaborate with Regulatory Affairs, Quality, Medical Affairs, and Clinical Operations to align programs with critical compliance requirements.
Multi-Program Portfolio Governance
- Own and govern a portfolio of concurrent programs across Pharma, Clinical, and R&D, ensuring strategic alignment.
- Chair Program Steering Committees, manage executive reporting, and oversee governance cadences.
- Define and enforce delivery standards, stage gates, and KPIs for the entire portfolio.
- Manage cross-program dependencies, risk registers, and blockers proactively.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
AI & Digital Transformation Leadership
- Lead end-to-end AI-powered transformation, including GenAI, ML model deployment, intelligent automation, and advanced analytics.
- Work with AI Architects, Data Scientists, and Product teams to translate AI strategy into roadmaps and executable plans.
- Deploy AI use cases across:
- Clinical Trial Operations
- Drug Discovery
- Regulatory Affairs
- Pharmacovigilance
- R&D Pipelines
- Champion innovation, experimentation, and responsible AI within delivery teams.
Stakeholder & Executive Engagement
- Serve as the primary C-suite contact, building trusted relationships with:
- Business sponsors
- Technology partners
- Regulatory bodies
- Communicate program status, risks, financials, and strategic recommendations clearly and confidently.
- Drive change management and business readiness for transformed capabilities.
Team Leadership & Delivery Excellence
- Lead, mentor, and develop high-performance delivery teams (onshore, offshore, hybrid).
- Establish agile, Scaled Agile (SAFe), and hybrid delivery frameworks.
- Drive continuous improvement via:
- Lessons learned
- Retrospectives
- 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, ML, or intelligent automation programs in a commercial setting.
- Deep expertise in Pharmaceutical, Clinical Research, or R&D environments, with a strong understanding of the drug development lifecycle.
- Proven ability to deliver in regulated environments.
- Track record of end-to-end digital transformation, from strategy to adoption.


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Technical Skills
- AI & Analytics:
- Generative AI, ML pipelines, RAG architectures, NLP, computer vision, and AI governance frameworks.
- Data & Integration:
- Data governance, Master Data Management (MDM), API-led integration, data lake/warehouse architectures, real-world data (RWD).
- Systems & Tools:
- 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.
- Strong strategic thinking – ability to translate vision into executable plans.
- High emotional intelligence, resilience, and comfort with ambiguity.
- Collaborative leadership – influence without formal authority.
- Strong commercial acumen with a benefit-realization mindset.
Preferred Qualifications
- PMP, PgMP, or MSP certification
- SAFe Program Consultant (SPC), Agile Coach, or equivalent
- MBA or advanced degree in:
- Life Sciences
- Computer Science
- Engineering or Business
- Experience with:
- CROs (Contract Research Organizations)
- CDMOs (Contract Development & Manufacturing Organizations)
- Regulatory agencies
- Global pharma partners
- Six Sigma, PRINCE2, or ITIL certifications (desirable)
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