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- Tasks: Lead customer data platform projects, integrating complex data sets for marketing insights.
- Company: Accenture Song drives growth through innovative technology and customer-centric strategies.
- Benefits: Enjoy flexible work policies, generous leave, private healthcare, and career development opportunities.
- Why this job: Join a vibrant team, work with cutting-edge tech, and make a real impact on clients' success.
- Qualifications: Experience with customer data platforms, analytics tools, and strong project management skills required.
- Other info: Expect some in-person collaboration while enjoying flexibility to balance work and life.
The predicted salary is between 36000 - 60000 £ per year.
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Job Role: Customer Data Platform Manager
Location: London/Manchester/Edinburgh/Newcastle/Birmingham
Career Level: Manager – ML7
We Are:
Accenture Song accelerates growth and value for our clients through sustained customer relevance. Our capabilities span ideation to execution: growth, product and experience design; technology and experience platforms; creative, media and marketing strategy; and campaign, content and channel orchestration. With strong client relationships and deep industry expertise, we help our clients operate at the speed of life through the unlimited potential of imagination, technology and intelligence. Visit us at: https://www.accenture.com/gb-en/about/accenture-song-index
The Data & AI team:
The Data and AI revolution is changing everything. It’s everywhere – transforming how we work and play. Join Accenture and help transform leading organisations and communities around the world. Accenture Data and AI is driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. The sheer scale of our capabilities and client engagements and the way we collaborate with the ecosystem, operate and deliver value provides an unparalleled opportunity to grow and advance.
Accenture’s Data and AI practice covers the range of Data and AI skills, from Strategy, Data Science, Data Architecture, AI Engineering and Visual Insights. When combined with Accenture’s broader Strategy and Consulting practice, we are able to bring together the unique ability to drive end to end business change through the application of Data and AI.
You\’ll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways.
If you’re looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our global team, you\’ll be working with cutting-edge technologies and will have the opportunity to develop a wide range of new skills on the job.
As a Customer Data Platform Manager, you will:
Have an extensive background in customer data platforms for large organisations and will be comfortable integrating multiple complex data sets, so clients better understand their customers and how to activate them for marketing use cases.
During client projects you will lead cross functional teams to promote a customer-centric vision, often providing pivotal guidance for data driven decision-making, data integration and enhancing customer experience strategies for our clients.
Key Responsibilities:
Collaboration and Communication:
We are looking for experience in the following skills:
What’s in it for you:
Our Total Rewards consist of a competitive basic salary, annual performance bonus, opportunities to acquire equity and a wide range of health and wellbeing benefits. These include perks such as:
Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the outstanding services we are known for.
Please note that with all our roles, you should expect some in-person time for collaboration, learning and building rapport with clients, peers, leaders and communities. As an employer, we will be as flexible as possible to support your specific work/life needs.
Accenture is an equal opportunities employer and encourages applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age citizenship, marital, domestic or civil partnership status, sexual orientation or gender identity.
Seniority level
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Seniority level
Mid-Senior level
Employment type
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Employment type
Full-time
Job function
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Job function
Engineering and Information Technology
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Industries
IT Services and IT Consulting
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Customer Data Platform Manager employer: Accenture UK & Ireland
Contact Detail:
Accenture UK & Ireland Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Customer Data Platform Manager
✨Tip Number 1
Familiarise yourself with the specific customer data platforms mentioned in the job description, such as Segment and Salesforce CDP. Understanding their functionalities and how they integrate with other tools will give you an edge during interviews.
✨Tip Number 2
Network with professionals already working in data management or marketing automation roles. Engaging with them on platforms like LinkedIn can provide insights into the company culture and expectations for the Customer Data Platform Manager role.
✨Tip Number 3
Stay updated on the latest trends in data privacy regulations, especially GDPR and CCPA. Being knowledgeable about compliance issues will demonstrate your commitment to responsible data management during discussions with potential employers.
✨Tip Number 4
Prepare to discuss real-world examples of how you've successfully managed cross-functional teams or projects. Highlighting your leadership skills and ability to drive data-driven decision-making will resonate well with the hiring managers.
We think you need these skills to ace Customer Data Platform Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with customer data platforms and relevant technologies. Use specific examples that demonstrate your ability to manage complex data sets and lead cross-functional teams.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data-driven decision-making and customer-centric strategies. Mention how your skills align with the responsibilities of the Customer Data Platform Manager role and how you can contribute to Accenture's goals.
Showcase Relevant Skills: Clearly outline your proficiency with tools like Segment, Salesforce CDP, and analytics platforms. Highlight any certifications you have in these areas, as well as your understanding of data privacy regulations like GDPR.
Prepare for Potential Questions: Anticipate questions related to your experience with data integration processes and project management. Be ready to discuss specific projects where you've successfully implemented customer data strategies and how you overcame challenges.
How to prepare for a job interview at Accenture UK & Ireland
✨Know Your Customer Data Platforms
Familiarise yourself with the specific customer data platforms mentioned in the job description, such as Segment, Salesforce CDP, and Adobe Experience Platform. Be prepared to discuss your experience with these tools and how you've used them to drive customer engagement.
✨Demonstrate Cross-Functional Leadership
Highlight your experience in leading cross-functional teams. Prepare examples of how you've successfully collaborated with different departments to achieve a customer-centric vision and how you managed any challenges that arose during those projects.
✨Showcase Your Problem-Solving Skills
Be ready to discuss specific instances where you've diagnosed and resolved complex data issues. Use the STAR method (Situation, Task, Action, Result) to structure your answers and demonstrate your analytical thinking and problem-solving capabilities.
✨Understand Data Privacy Regulations
Brush up on your knowledge of data privacy regulations like GDPR and CCPA. Be prepared to discuss how you've ensured compliance in previous roles and how you would approach data governance in this position.
