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For Companies At a Glance
- Tasks: Lead Data & AI strategy and transformation in healthcare or public sector.
- Company: Join a leading consulting and technology practice with a focus on innovation.
- Benefits: Competitive salary, performance bonus, and hybrid working model.
- Other info: Senior leadership role with opportunities for influence and growth.
- Why this job: Shape the future of healthcare through data and AI-driven transformation.
- Qualifications: Strong experience in Data & AI consulting and healthcare sector knowledge.
The predicted salary is between 130000 - 160000 £ per year.
Location: UK (Remote)
Salary: £130,000 – £160,000 + 15% bonus
The Opportunity
We’re looking for a Data & AI Lead to drive growth and delivery across Healthcare or Public sector within a leading consulting and technology practice. This is a senior leadership role combining sector expertise, client engagement, and Data & AI strategy, focused on helping healthcare organisations unlock value through data, analytics, and AI-driven transformation. You’ll play a key role in shaping strategy, winning new business, and delivering high-impact programmes across providers, payers, and wider health ecosystems.
What You’ll Be Doing
- Leading Data & AI strategy and transformation programmes across healthcare or public sector clients
- Acting as a trusted advisor to senior stakeholders across NHS, private healthcare organisations or public sector organisations
- Driving business development and account growth, identifying and shaping new opportunities
- Defining and delivering modern data platforms, analytics solutions, and AI use cases
- Leading multidisciplinary teams across data engineering, analytics, and AI delivery
- Shaping propositions and contributing to pre-sales, bids, and go-to-market strategy
- Ensuring delivery excellence across complex, multi-workstream programmes
- Building and mentoring high-performing teams within the Data & AI practice
- Contributing to thought leadership across healthcare/ public sector and AI innovation
What We’re Looking For
- Strong experience in Data & AI consulting or industry leadership roles
- Deep understanding of the Healthcare sector (NHS, providers, payers, or life sciences)
- Proven experience delivering large-scale data and AI transformation programmes
- Strong commercial acumen with experience in business development and client growth
- Experience designing and delivering modern data platforms and AI solutions
- Excellent stakeholder management skills, including C-suite engagement
- Experience leading and developing high-performing teams
What’s on Offer
- £130,000 – £160,000 base salary
- 15% performance bonus
- Hybrid working model
- Opportunity to lead sector-defining healthcare transformation programmes
- Senior leadership role with influence across strategy, delivery, and growth
Data & AI Lead - Healthcare or Public sector in Ipswich employer: ANSON MCCADE
Contact Detail:
ANSON MCCADE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data & AI Lead - Healthcare or Public sector in Ipswich
✨Tip Number 1
Network like a pro! Reach out to your connections in the healthcare and public sector. Attend industry events or webinars where you can meet potential employers and showcase your expertise in Data & AI.
✨Tip Number 2
Prepare for those interviews! Research the company’s recent projects and challenges in the healthcare sector. Be ready to discuss how your experience can help them drive growth and transformation.
✨Tip Number 3
Showcase your thought leadership! Share insights on LinkedIn or relevant forums about Data & AI trends in healthcare. This not only builds your personal brand but also positions you as a knowledgeable candidate.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals who can lead Data & AI initiatives. Your next big opportunity could be just a click away!
We think you need these skills to ace Data & AI Lead - Healthcare or Public sector in Ipswich
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Data & AI Lead. Highlight your experience in healthcare or public sector, and showcase any relevant projects that demonstrate your expertise in data and AI transformation.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about this role and how your background aligns with our mission at StudySmarter. Be specific about your achievements and how they relate to the job description.
Showcase Your Leadership Skills: As a senior leadership role, we want to see your ability to lead teams and drive strategy. Include examples of how you've successfully managed multidisciplinary teams and delivered high-impact programmes in your previous roles.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at ANSON MCCADE
✨Know Your Sector Inside Out
Make sure you brush up on the latest trends and challenges in the healthcare or public sector. Being able to discuss specific examples of how data and AI can drive transformation will show your expertise and passion for the field.
✨Showcase Your Leadership Skills
Prepare to share concrete examples of how you've led multidisciplinary teams and delivered successful data and AI projects. Highlight your experience in mentoring and building high-performing teams, as this is crucial for a senior leadership role.
✨Engage with Stakeholders
Think about how you would approach C-suite stakeholders and other senior figures. Prepare to discuss your strategies for building trust and managing relationships, as well as how you’ve successfully driven business development in previous roles.
✨Be Ready for Scenario Questions
Expect to face scenario-based questions that assess your problem-solving skills and strategic thinking. Practice articulating your thought process on how you would tackle complex data and AI challenges in the healthcare sector.