Data Strategy Manager

London, Manchester or other UK locations

CL7

Song Data & AI

Role Overview

As a Data Strategy Manager, you will lead teams and clients in shaping and delivering customer centric data strategies that transform marketing, sales, and service performance. You will define strategic direction, architect scalable solutions, and oversee the implementation of modern Customer & Marketing data platforms across complex organisations.‑centric data strategies that transform marketing, sales, and service performance. You will define strategic direction, architect scalable solutions, and oversee the implementation of modern Customer & Marketing data platforms across complex organisations.

Key Responsibilities

• Lead enterprise Data Strategies across Marketing, Sales, and Customer Experience.
• Lead data product strategy, roadmaps, and value realisation
• Own the definition and prioritisation of customer data products, use‑case roadmaps, and value realisation.
• Define the key integration patterns between Customer and Marketing data platforms including CDPs, CRM, PIM, DAM, CMS, and Marketing Automation.
• Manage multi‑disciplinary teams of consultants, architects, analysts, and client stakeholders.
• Oversee delivery quality, ensuring alignment between business objectives and technical execution
• Partner with technical architects to define scalable, cloud‑native data architectures supporting customer 360, audience management, and advanced analytics.
• Act as a senior advisor to Director- and C-suite stakeholders.
• Ensure strategies are measurable, defining KPIs and value‑tracking frameworks.
• Facilitate workshops, executive steering sessions, and cross‑functional alignment.
• Manage risk, resolve delivery challenges, and drive high levels of client satisfaction.

Required Skills & Experience

• Strong experience in Customer Data Strategy, Martech, CRM or Data Transformation roles.
• Hands-on experience with CDP, CRM, PIM, DAM, CMS, and Marketing Automation platforms
• Strong knowledge of Martech and Adtech ecosystems
• Strong understanding of segmentation, personalisation, decisioning, and predictive analytics
• Solid understanding of cloud data platforms (Azure, GCP, or AWS) and data engineering concepts
• Experience leading multidisciplinary teams and complex programmes
• Exceptional communication skills with the ability to influence senior stakeholders

Preferred Background

Experience in marketing, media or creative organisations, consultancies, or within marketing or sales departments.

Why Join Accenture?

Work with leading brands, cutting-edge data platforms, and help shape the future of customer engagement.

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:

• 30 days of leave to spend each year plus 3 extra volunteering days per year for charitable work of choice.

• Family-friendly and flexible work policies.

• Attractive pension plan with financial wellbeing support and resources.

• Private healthcare insurance plan and Mental Wellbeing support.

• Employee Assistance Programme, Career Development and Counselling.

• A range of generous Parental Leave offerings.
  

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.

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