At a Glance
- Tasks: Lead a multidisciplinary team to shape and deliver data and analytics strategies.
- Company: Globally connected organisation in a regulated sector focused on innovation.
- Benefits: Salary up to £165,000, senior leadership exposure, and a collaborative environment.
- Other info: Opportunity to influence change and enhance organisational data maturity.
- Why this job: Drive data-driven transformation and make a significant impact on business strategy.
- Qualifications: Strong experience in leading data functions and stakeholder management skills.
The predicted salary is between 165000 - 165000 £ per year.
This is a high-impact leadership opportunity to shape and deliver a data and analytics strategy within a complex, international organisation. You will sit at the forefront of data-driven transformation, leading a multidisciplinary team and embedding analytics, AI, and data governance across the business.
The Company
They are a globally connected organisation operating within a highly regulated and commercially driven sector. With a strong focus on strategic partnerships and operational efficiency, they play a key role in managing complex supply chains and delivering value across international markets. The business is evolving its data capabilities to unlock greater insight, support decision-making, and enhance performance. This role will be central to that transformation, working closely with senior leadership and cross-functional teams.
The Role
- Define and execute the enterprise data, analytics, and AI strategy aligned to business objectives
- Lead and develop a multidisciplinary team spanning data engineering, analytics, and data science
- Establish scalable data platforms, architecture, and pipelines to support business growth
- Drive adoption of analytics and business intelligence across the organisation
- Translate complex data into actionable insights to support strategic and commercial decisions
- Identify and deliver AI and machine learning use cases that improve efficiency and performance
- Implement robust data governance frameworks to ensure data quality, consistency, and compliance
- Partner with senior stakeholders across a matrix environment to influence and deliver change
Your Skills and Experience
- Strong track record in leading data, analytics, or insights functions at a senior level
- Experience operating within complex or matrix organisations with multiple stakeholders
- Expertise across analytics, business intelligence, and advanced analytics or data science
- Proven ability to define and deliver data strategy and organisational transformation
- Experience leading and scaling high-performing teams across multiple data disciplines
- Strong stakeholder management skills with the ability to influence at executive level
- Commercial mindset with the ability to translate data into business value
What They Offer
- Salary up to £165,000
- Opportunity to shape and lead a business-critical data function
- Senior leadership exposure and influence across the organisation
- A collaborative and forward-thinking environment focused on innovation and data maturity
How to Apply
If you are interested in leading a data and analytics function with significant strategic impact, please apply with your CV to learn more.
Senior Director, Data & Analytics employer: Harnham
Join a leading UK-based media organisation at the forefront of digital transformation, where your role as Director of Streaming Product and Growth will be pivotal in shaping the future of their subscription services. With a strong emphasis on innovation and a collaborative work culture, you'll have access to significant growth opportunities, competitive salary packages, and a performance-based bonus structure, all while working in a dynamic environment that values data-driven decision making and customer-centric strategies.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Director, Data & Analytics
✨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 Harnham!
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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 Harnham.
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We think you need these skills to ace Senior Director, Data & Analytics
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 Harnham, 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 Harnham. 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 Harnham
✨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 Harnham!
✨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.
