At a Glance
- Tasks: Lead and evolve data governance frameworks to enhance analytics and AI initiatives.
- Company: Global professional services firm with a strong reputation in data governance.
- Benefits: Competitive salary, collaborative culture, and opportunities for professional growth.
- Other info: Join a team that values innovation and offers visibility to senior stakeholders.
- Why this job: Shape the future of data governance in a dynamic, international environment.
- Qualifications: Strong leadership in data governance and experience in complex organisations.
The predicted salary is between 80000 - 100000 £ per year.
This is a high impact opportunity to take ownership of an established data governance function and drive its next phase of maturity. You will join at a pivotal point, building on strong foundations while shaping how data supports enterprise analytics, reporting, and emerging AI initiatives across a complex global environment.
They are a global, professional services organisation with a strong international footprint and a reputation for advising on complex, high value work. Operating across multiple regions, they bring together business, legal, and technology expertise to support clients in regulated and data intensive environments. Data is increasingly central to their strategy, with continued investment in governance, analytics, and innovation capabilities.
You will join a collaborative and evolving data function with strong visibility across senior stakeholders, including leadership in business intelligence, architecture, and innovation.
As Senior Manager, Data Governance, you will lead the evolution and adoption of a firm wide data governance framework, ensuring it is embedded across both business and technology teams.
- Lead and mature the organisation’s data governance framework, ensuring it is scalable, embedded, and aligned to business priorities.
- Work closely with Data Stewards and cross functional teams to drive adoption of governance practices and accountability.
- Partner with BI, data architecture, and technology teams to embed governance into analytics, platforms, and transformation initiatives.
- Oversee data quality frameworks, metadata management, and reference data strategies to improve data consistency and usability.
- Define and govern data domains, ownership models, and governance standards across the organisation.
- Provide leadership to a small data governance team while leveraging wider internal and consultant expertise.
- Influence senior stakeholders to align governance with strategic priorities, including AI and innovation initiatives.
You will bring strong leadership capability within data governance and experience operating across complex organisations.
- Strong commercial experience leading and scaling data governance frameworks.
- Experience embedding governance into business as usual processes and influencing adoption across teams.
- Expertise in data governance disciplines including data quality, metadata, data domains, and reference data management.
- Hands on experience with governance tooling such as Collibra, Informatica, or Data360.
Senior Digital Manager in City of London 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 Digital Manager in City of London
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We think you need these skills to ace Senior Digital Manager in City of London
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.
