At a Glance
- Tasks: Lead data communication strategies to embed a data-driven culture across the bank.
- Company: Global corporate and investment bank undergoing a transformative data journey.
- Benefits: Competitive salary, hybrid working, and a commitment to inclusion.
- Other info: Join a diverse team and help foster a culture of trust and understanding in data.
- Why this job: Shape the future of data strategy and drive impactful change in a dynamic environment.
- Qualifications: Strong communication skills and experience in data engagement within financial services.
The predicted salary is between 63000 - 77000 £ per year.
As a Data Communications Lead in London, you will help embed data strategy across the bank. You will make sure data-led ways of working are communicated, understood and used, helping the business make clearer decisions. This role will report into the Data Strategy Executive Director and will be based in London (on a hybrid basis).
Responsibilities of the Data Communications Lead:
- Shaping and delivering the engagement, communication which supports the adoption strategy for the Data Office.
- Ensuring that the strategy, data initiatives, services, policies, and products are clearly understood, effectively communicated, and embedded across the organisation to drive adoption, cultural change, and business value.
- Bridging the gap between the Data Office and the business, ensuring that data priorities are translated into clear, relevant, and actionable messaging for different audiences.
- Acting as a catalyst for building a data-driven culture, promoting awareness, understanding, and trust in data across the organisation.
- Through structured engagement, consistent storytelling, and measurable adoption activities, helping ensure that investments in data capabilities are fully realised and aligned to strategic business outcomes.
- Educating and convincing stakeholders at all levels on the opportunities presented by data, as well as articulating the benefits it will bring.
Profile of the successful Data Communications Lead:
- Excellent stakeholder management and influencing skills, including at senior level.
- Experience of developing and delivering engagement strategies and plans.
- Strong written and verbal communication skills, with experience of building effective engagement materials and telling stories with data such as PowerPoint decks.
- Proven experience in representing data into the business.
- Experience operating in complex, matrixed organisations.
- Ability to translate technical concepts into business-relevant outcomes.
- Experience defining and tracking value and KPIs.
- Passion for driving behavioural and cultural change.
- Will have worked in financial services, in a data communications role.
Job Offer: Competitive.
Inclusion Statement: We are committed to creating an inclusive environment. As an inclusive recruiter we welcome applications from people of all backgrounds, identities and experiences. If you require any adjustments or accommodations during the recruitment process, we'll work with you to ensure you can perform at your best.
Data Communications Lead employer: Michael Page
ASDA is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Leeds. With a strong commitment to employee growth, ASDA provides numerous opportunities for professional development and advancement, alongside competitive salaries and comprehensive benefits. The hybrid working model allows for flexibility, making it an attractive workplace for those seeking meaningful and rewarding careers in one of the UK's leading retail brands.
StudySmarter Expert Advice🤫
We think this is how you could land Data Communications Lead
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We think you need these skills to ace Data Communications Lead
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 Michael Page, 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 Michael Page. 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 Michael Page
✨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 Michael Page!
✨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.
