At a Glance
- Tasks: Lead the Data & AI strategy to transform lives through technology at Macmillan Cancer Support.
- Company: Join Macmillan Cancer Support, a leading charity dedicated to helping those affected by cancer.
- Benefits: Competitive salary, hybrid working, and a chance to make a real difference.
- Other info: Opportunity to influence change and drive innovation in a respected organisation.
- Why this job: Shape the future of data and AI for a meaningful cause in a supportive environment.
- Qualifications: Proven leadership in data, analytics, and AI with strong relationship-building skills.
The predicted salary is between 63000 - 77000 £ per year.
- Director of Data & AI
- Permanent
- Full time (34.5 hours)], we are open to a conversation about how you work these hours
Hybrid -Split between home and our London Office Our Hybrid model for this role will mean 1 day per a week in the office.
- Salary Range £120000 - £128000 - benefits and recognition
- Director of Data & AI
- Help shape the future of data and AI at Macmillan Cancer Support
At Macmillan Cancer Support, we're here to do whatever it takes for people living with cancer.
Every conversation, every service and every innovation is driven by one purpose, to help people get the support they need when they need it most.
We're embarking on an ambitious transformation of how we use data, technology and artificial intelligence to improve the lives of people living with cancer.
To help us achieve this, we're looking for an exceptional Director of Data & AI to join our senior technology leadership team.
This is a rare opportunity to define and lead Macmillan's Data & AI strategy, creating the trusted foundations, governance and capabilities that will enable better decisions, more personalised support, stronger partnerships and greater impact across the organisation.
Reporting to our Chief Technology & Data Officer, you'll play a pivotal role in ensuring data and AI become practical tools that help us deliver more for the people who rely on us.
About the role
In this role you'll help Macmillan become a truly connected, insight-led and AI ready organisation by bringing together people, platforms and processes to unlock the value of our data responsibly and ethically.
Working closely with colleagues across Technology, Insight & Performance, Fundraising, Partnership, Services and Corporate functions, you'll create the conditions that allow high-quality insight and AI innovation to flourish safely and at scale.
You'll be responsible for shaping strategy, strengthening governance, building modern data capabilities and leading the safe adoption of AI across the organisation.
- What you'll be doing
- Develop and deliver Macmillan's organisation-wide Data & AI Strategies, ensuring they support our charitable mission and digital transformation ambitions.
- Build trusted data foundations by improving governance, quality, ownership and consistency across key business domains.
- Lead the development of modern, secure and scalable data platforms that enable trusted insight, reusable data products and AI-ready datasets.
- Create the frameworks that ensure AI is adopted safely, ethically and responsibly across Macmillan.
- Identify, prioritise and deliver data and AI opportunities that improve decision-making, supporter engagement, operational efficiency and outcomes for people living with cancer.
- Partner with senior leaders across the organisation to embed data-informed decision making and maximise organisational impact.
- Advise the Executive Team and Board on strategic opportunities, investment decisions, organisational maturity and emerging technologies.
- Build and inspire high-performing teams while developing data and AI capability, confidence and literacy across Macmillan.
About you
We're looking for an inspiring strategic leader who combines technical credibility with exceptional relationship-building and influencing skills.
You'll bring
- Significant senior leadership experience across data, analytics, digital and AI.
- A proven track record of developing and delivering enterprise Data, Analytics and AI strategies within complex organisations.
- Experience establishing strong data governance, improving data quality and creating trusted, reusable data assets.
- Deep understanding of modern data platforms, AI technologies, data architecture, governance, privacy and responsible AI.
- Experience building investment cases, prioritising transformation portfolios and demonstrating measurable organisational value.
- The ability to influence Executive teams, Boards and senior stakeholders while leading through collaboration and partnership.
- Experience leading organisational and cultural change that enables lasting transformation.
- Outstanding communication skills with the ability to make complex technical concepts accessible to non-technical audiences.
- A collaborative, inclusive leadership style and a genuine passion for using technology and data to create positive social impact.
Experience within the charity, healthcare, public or other regulated sectors would be advantageous, as would knowledge of NHS data, interoperability or large-scale data operating models, but these aren't essential.
To ensure fairness and consistency to select the best candidate for this role, all our applications are anonymised up until an interview has been confirmed.
We are an organisation that is committed to setting candidates up for success, so we can support you to be at your best during the application or selection process, please contact Macmillan TA Team TATeam@macmillan. org. uk for advice, or a conversation on reasonable adjustments.
#J-18808-Ljbffr
Director of Data & AI (11242) employer: Macmillan Cancer Support
At Macmillan Cancer Support, we pride ourselves on being an exceptional employer dedicated to making a meaningful impact in the lives of those affected by cancer. Our hybrid working model promotes flexibility, allowing you to balance your professional and personal life while collaborating with a passionate team in our London office. With a strong focus on employee growth, innovative projects in data and AI, and a culture that values inclusivity and collaboration, we offer a unique opportunity to contribute to transformative change in healthcare.
StudySmarter Expert Advice🤫
We think this is how you could land Director of Data & AI (11242)
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Macmillan Cancer Support!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Director of Data & AI (11242) at Macmillan Cancer Support.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Macmillan Cancer Support.
✨Apply Directly through Our Website
When you find a suitable opening like Director of Data & AI (11242) at Macmillan Cancer Support, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Director of Data & AI (11242)
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Macmillan Cancer Support, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Macmillan Cancer Support. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Macmillan Cancer Support
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Macmillan Cancer Support!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
