Data Strategy Manager

Data Science Festival; Bedford; Hybrid; GBP 70,000 - 90,000; Full time

Benefits offered by this job

Competitive salary

Flexible hybrid working

Private pension scheme

Ongoing training and career development opportunities

Opportunity to lead a high‑performing team

Exposure to emerging technologies and real‑time data projects

Job summary

Data Science Festival is seeking a Data Strategy Manager to lead their data initiatives in a collaborative tech environment. The successful candidate will report directly to the CTO and play a crucial role in ensuring data accuracy and security. Key responsibilities include managing a talented team and translating data into actionable insights.

The role offers a hybrid work arrangement and opportunities for career development, while the ideal candidate will bring proven leadership in data-focused teams and experience with cloud platforms like Azure DevOps.

Qualifications

• Proven leadership in data-focused teams (data engineering, BI, analytics).
• Strong experience in data strategy, governance, and quality initiatives.
• Technical expertise in SQL and non-SQL systems, database architecture, and data lake/warehouse design.

Responsibilities

• Safeguard and optimize data quality, accuracy, and availability across the business.
• Develop and maintain data infrastructure to ensure scalability and efficiency.
• Translate complex data into meaningful insights for stakeholders.

Skills

Leadership in data-focused teams

Data strategy and governance

Technical expertise in SQL

Experience with cloud platforms

Excellent communication skills

Knowledge of data security and compliance

Education

Degree in Computer Science or related field

Tools

Azure DevOps

Job description

We are currently looking for a Data Strategy Manager to join our client’s fast-paced and collaborative tech team. Reporting directly into the CTO, this role is central to ensuring their data is accurate, secure, and used to its full potential. As the Data Lead, you will shape and evolve their data infrastructure, generate actionable insights, and partner across the business to drive smarter decisions.

Position type: Permanent. Location: London, hybrid work arrangement.

The Opportunity

As Data Lead, you’ll be at the heart of the mission to deliver a single source of truth for the business. You’ll work with stakeholders across multiple functions, identifying opportunities where data can deliver competitive advantage, and leveraging the latest technologies to keep at the forefront of innovation. You will also be a keen people manager with a desire to grow and nurture a data team.

Key Responsibilities

• Safeguard and optimise data quality, accuracy, and availability across the business.
• Develop and maintain data infrastructure to ensure scalability and efficiency.
• Translate complex data into meaningful insights for stakeholders.
• Partner with business leaders to deliver data-driven recommendations.
• Lead and coach a talented team of engineers, analysts, and BI specialists, fostering a culture of curiosity and growth.
• Champion emerging technologies to continually improve performance and efficiency.

Benefits

• Competitive salary
• Flexible hybrid working
• Private pension scheme
• Ongoing training and career development opportunities
• Opportunity to lead and shape a high‑performing team
• Exposure to emerging technologies and real‑time data projects

Skills and Experience

• Proven leadership in data-focused teams (data engineering, BI, analytics).
• Strong experience in data strategy, governance, and quality initiatives.
• Technical expertise in SQL and non‑SQL systems, database architecture, and data lake/warehouse design.
• Experience with cloud platforms (Azure DevOps preferred).
• Excellent communication skills with ability to bridge technical and business teams.
• Strong knowledge of data security, privacy, and compliance.

Nice to have

• Degree in Computer Science or related field.
• Background in Agile project management.
• Experience applying AI to data platforms (e.g., document intelligence, behavioural modelling).