Data Strategy Manager

Accenture
Manchester, UK
3 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

Amazon Web Services Microsoft Azure Customer Data Management Information Engineering Data Transformation Automation of Marketing Marketing Information Systems Cloud Services Data Strategy

Job description

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., 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.

Requirements

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.

Benefits & conditions

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. #J-18808-Ljbffr

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on apply4u.co.uk

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

1:15 min

Three pillars of the data and AI strategy

Dominik Schneider Dominik Schneider · WWC 2025

2:41 min

Transitioning artificial intelligence infrastructure into scalable commodity cloud services

juarezjunior juarezjunior · WWC 2024

1:06 min

Outline of free tools for Microsoft Azure

Radu Vunvulea Radu Vunvulea · WWC 2022

3:30 min

Approaching data problems with an engineering and strategy mindset

Becky Gandillon · LIVE

47 sec

Advantages of edge inference over cloud API services

Sasha Denisov Sasha Denisov · WWC Europe 2026

Videos

See all

Related articles

See all