At a Glance
- Tasks: Lead innovative data management projects and guide teams to tackle complex challenges.
- Company: Join Accenture, a global leader in professional services with a culture of innovation.
- Benefits: Enjoy competitive salary, 30 days vacation, private medical insurance, and extra leave for charity work.
- Other info: Dynamic environment with access to global training and expert networks.
- Why this job: Be a trailblazer in Data Management & Governance for the AI era and make a real impact.
- Qualifications: Experience in data governance, strategy, and management with strong leadership skills.
The predicted salary is between 60750 - 74250 £ per year.
Location: Manchester
Salary: Competitive salary package depending on experience
Career Level: Manager
Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity.
We have an exciting opportunity for a Data Management & Governance Manager to join our Data & AI Practice. We provide the trusted data foundations and AI ready data to deliver scalable, business critical solutions for our clients to harness the value of data and AI. We advise across:
- Data Governance, Strategy
- Master Data Management (MDM)
- Data Quality & Observability
- Metadata Management
- Data Products
We are looking for candidates that have deep experience in one or more core capabilities below:
- AI Data Management: awareness or experience of areas such as Agentic Data Management, AI Observability, semantic layers, knowledge graphs and ontologies.
- Data Governance & Strategy: experience supporting the design or implementation of governance frameworks, policies, standards, controls, ownership and stewardship models.
- Data Quality & Observability: working knowledge of profiling, rule definition, controls, monitoring, issue management, remediation and root-cause analysis.
- Metadata Management: experience with business glossaries, data catalogues, lineage, classification, metadata standards or data discovery processes and tools.
- Master & Reference Data Management: understanding of relevant principles, data models, matching, survivorship, workflows, stewardship, technology and common solution components.
As a Data Management Manager, you will need to:
- Act as a subject matter expert in one or more Data Management and Governance capabilities, providing clear direction across client engagements.
- Lead the design and delivery of Data Management and Governance solutions aligned to client priorities, regulatory requirements and measurable business outcomes.
- Manage projects or workstreams, including scope, plans, resources, budgets, risks, dependencies, governance and delivery against agreed milestones.
- Lead and develop multidisciplinary teams, setting clear objectives, allocating work, coaching colleagues and creating an inclusive, high-performing environment.
- Assess current data capabilities, translate complex findings into practical recommendations and mobilise delivery plans that achieve sustainable improvements.
- Build trusted relationships with client stakeholders, facilitate senior workshops and communicate effectively across business, data and technology audiences.
- Contribute to business development by shaping proposals, estimating delivery effort and supporting client pitches and commercial discussions.
- Develop and improve Data Management propositions, methods, accelerators and thought leadership, sharing knowledge across the practice.
- Experience leading a project or substantial workstream from definition through delivery, managing plans, resources, risks, dependencies and quality.
- Demonstrable experience managing, coaching and developing team members, including providing direction, feedback and performance support.
- Experience contributing to proposals, delivery estimates, case studies, propositions, methods or reusable assets.
- Commercial awareness and the ability to balance client outcomes, delivery quality, team wellbeing and engagement performance.
- Strong written and verbal communication, with the credibility to influence business, data and technology stakeholders across multidisciplinary and multi-location teams.
- Relevant experience in areas such as Agentic Data Management, AI Observability, semantic layers, knowledge graphs and ontologies.
- Relevant certifications e.g. DAMA CDMP, DCAM, technology or cloud accreditations.
- Implementation experience with leading technologies in data governance, catalogue, Data Quality, observability, MDM or cloud data platforms.
- Knowledge of regulatory, privacy, risk or compliance requirements and how they translate into proportionate data controls.
At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes up to 30 days’ vacation per year, private medical insurance and 3 extra days leave per year for charitable work of your choice!
Manager, Data Governance and Management in Manchester employer: Accenture
Accenture is an excellent employer for those looking to thrive in a dynamic environment, particularly in the role of Operations Engineer. With a strong focus on employee growth and development, you will have the opportunity to collaborate with senior colleagues while enjoying flexible work arrangements that promote a healthy work-life balance. The company's commitment to continuous improvement and innovation makes it a rewarding place to build your career.
StudySmarter Expert Advice🤫
We think this is how you could land Manager, Data Governance and Management in Manchester
✨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 Accenture!
✨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 Manager, Data Governance and Management at Accenture.
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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 Accenture.
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When you find a suitable opening like Manager, Data Governance and Management at Accenture, 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 Manager, Data Governance and Management in Manchester
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 Accenture, 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 Accenture. 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 Accenture
✨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 Accenture!
✨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.
