At a Glance
- Tasks: Shape customer data strategies and drive impactful outcomes for clients.
- Company: Join Accenture Song, a leader in innovative customer engagement.
- Benefits: Enjoy competitive salary, flexible work policies, and extensive health benefits.
- Other info: Be part of a diverse team that values innovation and well-being.
- Why this job: Make a real difference by transforming how brands use customer data.
- Qualifications: 4+ years in customer data strategy or related fields required.
The predicted salary is between 60000 - 80000 £ per year.
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.
Customer data has never been more valuable — or more complex to activate. Brands are sitting on rich signals across every channel, but most are still struggling to connect them, trust them, and turn them into real customer experiences that drive growth. Demand for this expertise has never been higher. Organisations across every sector are racing to make their customer and business data AI-ready. Clients need consultants who understand this landscape end-to-end: the platforms, the data foundations, and the AI ambition sitting on top of it.
As a Customer Data Strategy Consultant, you will help clients cut through that complexity. You will shape strategies that span the full customer data lifecycle — from how data is collected and unified, to how it powers personalisation, decisioning, and measurable business outcomes. You will work at the intersection of business strategy, data architecture, and emerging AI capability, translating what is technically possible into what is commercially valuable.
This is not a role for people who produce strategies and move on. It is for people who stay invested in the outcome — who care whether the roadmap actually gets built, whether the CDP actually activates, whether the client is genuinely better off. You bring the thinking and you drive the doing.
What You Will Do
- Shape Customer Data Strategy
- Define how clients collect, unify, and activate customer data across online and offline channels
- Develop data strategies that connect directly to business outcomes — revenue growth, retention, acquisition efficiency, and lifetime value
- Advise on data governance, consent, and privacy frameworks in an era of increasing regulation (GDPR, post-cookie, AI Act)
- Turn ambiguous client challenges into clear, actionable roadmaps with defined milestones and measurable value
- Help clients build the case for investment — developing business cases that resonate at board level
- Design & Modernise Customer Data Architecture
- Lead the design and implementation of Customer Data Platforms (CDPs), MDM systems, and CRM ecosystems
- Guide clients through legacy modernisation — moving from fragmented, batch-driven systems to cloud-native, event-driven architectures
- Evaluate and recommend the right technology stack across Martech, Adtech, and data platform ecosystems — with a point of view, not just a list of options
- Architect data foundations that are AI-ready: unified, trusted, real-time, and governed
- Bridge AI Ambition & Data Reality
- Advise clients on how AI can transform customer engagement — personalisation at scale, GenAI-powered content, conversational interfaces, intelligent decisioning, and next-best-action
- Assess a client's data readiness for AI and define a practical path to close the gap — covering data quality, governance, identity, and architecture prerequisites
- Translate AI ambition into grounded strategy: you do not need to build the models, but you need to understand what makes them work and what gets in the way
- Help clients define measurement frameworks that prove the value of AI and data investments to the business
- Drive Product & Delivery
- Define and manage customer data products — use case prioritisation, roadmap development, KPIs, and iterative delivery
- Lead workstreams end-to-end, from discovery and design through to implementation and handover — you own the outcome, not just the slide
- Work across business and technical teams as a translator: turning business requirements into data requirements, and data capabilities into business value
- Operate in agile delivery environments, managing stakeholders at all levels from data engineers to C-suite
- Engage Clients & Build Trust
- Act as a trusted advisor to senior client stakeholders — guiding decisions, challenging assumptions, and building long-term relationships
- Facilitate workshops, present recommendations, and communicate complex data concepts to non-technical audiences with clarity and confidence
- Contribute to business development — shaping proposals, supporting pitches, and spotting opportunities to grow client relationships
What You Will Bring
- Required — Experience & Knowledge
- 4+ years of experience in customer data strategy, data architecture, product management, or a related consulting discipline
- Deep understanding of the modern customer data ecosystem: CDPs (Salesforce Data Cloud, Adobe Experience Platform, Treasure Data, mParticle), MDM, CRM, and data warehousing
- Familiar with analytical approaches used in customer strategy: segmentation, propensity modelling, next-best-action, attribution, and customer journey analytics — ability to interpret and apply, not necessarily build
- Knowledge of cloud data platforms (Azure, GCP, AWS) and modern data architecture patterns (medallion architecture, data mesh, real-time streaming)
- Proven ability to build business cases, develop roadmaps, and communicate value to senior stakeholders
- Practical understanding of how AI is applied to customer data strategy — from a commercial and strategic lens, not a data science one
- Awareness of AI applications in customer engagement: personalisation, content generation, conversational AI, and intelligent decisioning
- Preferred
- Experience leading or contributing to CDP implementations or data platform migrations end-to-end
- Solid understanding of data governance, data quality, and privacy regulation (GDPR, ePrivacy, cookieless future)
- Certifications in cloud architecture, data governance, or relevant Martech platforms
- Bachelor's or Master's degree in Business, Marketing, Data, or a related field
Who You Are
You are a strategist who gets things done. You are just as comfortable in a client workshop defining the vision as you are rolling up your sleeves to turn that vision into a concrete plan with owners, milestones, and accountability. When a client brings you a problem, your instinct is not to reach for a framework — it is to understand the real constraint, form a point of view, and start moving. You do not wait for perfect information. You work with what you have, make smart assumptions, and course-correct as you learn. You are solution-oriented by nature: the problem is just the starting point.
You take ownership. If a workstream is drifting, you course-correct it. If stakeholders are misaligned, you get them in a room. If the brief is unclear, you sharpen it. You care about outcomes, not just outputs — and the people around you can feel the difference.
Locations London
Additional Information
Equal Employment Opportunity Statement: All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women.
About Accenture: We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other. We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work. At Accenture, we see well-being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World’s Best Workplaces™. Join Accenture to work at the heart of change.
Customer Data Strategy Consultant employer: Accenture
Accenture is an exceptional employer, offering a dynamic work culture in London that fosters innovation and collaboration. With competitive benefits like 30 days of vacation, access to fitness classes, and private medical insurance, employees are supported in achieving a healthy work-life balance while also having ample opportunities for professional growth and development within the rapidly evolving field of AI.
StudySmarter Expert Advice🤫
We think this is how you could land Customer Data Strategy Consultant
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We think you need these skills to ace Customer Data Strategy Consultant
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at Accenture, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at Accenture
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with Accenture’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.