Jobs
Customer Data Architect – Associate Manager
London, Manchester (or other UK location)
Associate Manager (CL8)
Practice: Song Data & AI
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
Role Overview:
As a Customer Data Architect – Associate Manager, you will help design and implement scalable, secure, and high-performing customer data architectures. You will work with cross-functional teams to define data strategies, architect solutions, and enable data readiness for AI, analytics, and customer engagement platforms. This role sits within Accenture’s Data & AI practice, delivering end-to-end solutions from data strategy to core engineering.
Key Responsibilities
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Architect modern customer data platforms and integration pipelines across structured and unstructured sources.
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Translate business requirements into scalable data solutions aligned with customer engagement goals.
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Lead the design and implementation of data models, pipelines, and integration frameworks.
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Support the implementation of Customer Data Platforms (CDPs), MDM, and CRM systems.
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Ensure compliance with data governance, metadata standards, and data quality frameworks.
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Collaborate with stakeholders to define data architecture vision and roadmap.
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Contribute to the development of reusable architecture assets and design patterns.
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Mentor junior team members and support capability development within the practice.
Required Skills & Experience
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Strong experience in data architecture, ideally in customer-centric domains such as CRM, CDP, or marketing analytics.
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Strong knowledge of cloud platforms (Azure, GCP), data warehousing, and ETL tools.
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Proficiency in SQL, Python, and data modelling techniques.
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Experience with customer data platforms (e.g., Salesforce CDP, Redpoint), MDM, and real-time data processing.
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Understanding of data privacy, consent management, and regulatory compliance.
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Excellent communication and stakeholder management skills.
Preferred Qualifications
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Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
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Certifications in cloud platforms (e.g., Azure Data Engineer, GCP Associate Cloud Engineer).
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Familiarity with AI/ML applications in customer engagement and personalisation.
Why Join Accenture?
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Work with cutting-edge technologies and global clients.
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Be part of a diverse, inclusive, and innovation-driven culture.
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Access world-class learning resources and career development programmes.
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Join a team that values stewardship, integrity, and client value creation.
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:
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30 days of leave to spend each year plus 3 extra volunteering days per year for charitable work of choice.
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Family-friendly and flexible work policies.
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Attractive pension plan with financial wellbeing support and resources.
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Private healthcare insurance plan and Mental Wellbeing support.
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Employee Assistance Programme, Career Development and Counselling.
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A range of generous Parental Leave offerings.
SNGCR01
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.
Visit us at www.accenture.com
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
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About Accenture

Accenture
PublicLet there be change.
10,001+
Employees
Dublin
Headquarters
Reviews
4.0
10 reviews
Work Life Balance
3.5
Compensation
4.0
Culture
4.2
Career
4.1
Management
4.0
75%
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Pros
Great learning and development opportunities
Supportive and collaborative work environment
Good career growth and networking opportunities
Cons
Need to be proactive in finding projects
Long hours during busy periods
Very competitive environment for advancement
Salary Ranges
33 data points
L2
L3
L4
L5
L6
M3
M4
M5
M6
Senior/L5
L2 · Data Scientist L2
0 reports
$14,221
total / year
Base
$5,688
Stock
$7,111
Bonus
$1,422
$9,955
$18,487
Interview Experience
6 interviews
Difficulty
2.7
/ 5
Duration
14-28 weeks
Offer Rate
17%
Experience
Positive 0%
Neutral 50%
Negative 50%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical/Task-Based Interview
4
Final Interview
5
Offer
Common Questions
Technical Knowledge
Behavioral/STAR
Past Experience
Case Study
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