Head of Data Science and Architecture

TN United Kingdom; Manchester; On-site; GBP 80,000 - 120,000; Full time

Job summary

An established industry player is seeking a Head of Data Science and Architecture to spearhead innovative data initiatives. This pivotal role involves overseeing a talented team, ensuring alignment between data science strategies and business goals, and driving operational efficiencies. You'll collaborate with various stakeholders to enhance passenger experiences and optimize operations. If you have a strong background in data science management and a passion for leading high-performing teams, this opportunity offers a chance to make a significant impact in a dynamic environment.

Qualifications

• Proven experience in managing data science in transformational environments.
• Expertise in data modeling and cloud computing, especially AWS.

Responsibilities

• Manage a portfolio of data projects worth over £1.5m annually.
• Lead a team of data scientists and analysts to meet business objectives.

Skills

Data Science Management

Data Analytics

Data Modeling

Cloud Computing (AWS)

Communication Skills

Team Leadership

Technical Governance

Education

Relevant Degree

TOGAF Certification

Tools

AWS S3

AWS Redshift

SQL

Job description

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Head of Data Science and Architecture, Manchester

Client: MAG

Location: Manchester, United Kingdom

Job Category: Other

EU work permit required: Yes

Job Reference: 87d4e8903e92

Job Views: 11

Posted: 26.04.2025

Expiry Date: 10.06.2025

Job Description:

The Role

MAG is on a mission to build the world's most intelligent airports.

As the Head of Data Science and Architecture within our Data and Strategic Analytics team at MAG Technology, you'll oversee the strategic direction and technical governance of data science initiatives. Leading a team of data scientists and analysts, you'll work collaboratively with stakeholders to align data science initiatives with business objectives.

You will work closely with the product leadership team to ensure data science solutions support MAG's enterprise architecture and align with overall strategy. Collaboration with Product Managers and business stakeholders will be essential to develop and implement innovative data-science solutions that enhance operational efficiency and passenger experience.

You will also develop and mentor your team, providing guidance to ensure their success. Your leadership will empower your team to deliver impactful solutions addressing key business challenges such as digitizing passenger journeys, optimizing operations, and improving employee experiences.

You will leverage data and analytics to identify opportunities for improvement, drive operational efficiencies, and solve complex business problems across the organization.

Role Responsibilities

1. Manage a portfolio of data and strategic analytics projects worth over £1.5m annually, influencing how this investment is designed and delivered.
2. Establish and promote a cross-functional, enterprise-wide approach for generating value from data science and analytics.
3. Identify, evaluate, and adopt capabilities to transform organizational performance through data science and analytics, leading their provision within the organization.
4. Embed the strategic application of data science and analytics into governance and leadership structures.
5. Align business strategies with enterprise transformation and data science strategies.
6. Define detailed data science specifications to facilitate engineering processes.
7. Design data science structures and tools to meet business requirements.
8. Collaborate with engineering teams, analysts, and product leads to develop solutions aligned with business goals and timelines.
9. Build productive relationships with suppliers and third parties, balancing collaboration with commercial considerations.
10. Conduct market research, contribute to business case development, and realize benefits.
11. Support testing efforts, define test cases, assess results, and approve integration tests related to data science designs.
12. Contribute to the wider technology roadmap and provide innovative ideas.

Decision-Making

1. Lead a team of data scientists and analysts, ensuring business requirements and objectives are met.
2. Foster a culture of innovation, empowerment, and high performance among your team and peers.
3. Add value to business change discussions by proposing data solutions and IT capabilities that enhance MAG’s competitiveness, staying updated on emerging data science technologies.
4. Mentor, coach, and develop colleagues, addressing skill gaps as needed.

What will make you a great Head of Data Science & Architecture:

1. Proven experience managing data science and analytics in transformational business environments.
2. Experience designing and delivering data science strategies and full development lifecycle solutions.
3. Extensive knowledge of data, analytics, and data science best practices.
4. Expertise in data modeling, design, and roadmap planning.
5. Strong understanding of cloud computing, especially re-platforming, with experience on AWS including S3, Redshift, and SQL coding.
6. Excellent communication skills for conveying complex technical information and influencing decision-making.
7. Ability to understand and articulate the interplay between business functions, processes, and IT components.
8. Track record of leveraging emerging technologies effectively.
9. Experience in devising data science transformation strategies.
10. Capability to provide guidance to technology leaders and stakeholders.
11. Leadership experience in developing high-performing teams, including recruitment and performance management.
12. Strong communication skills at all organizational levels.
13. Minimum of 10 years as a Lead Data Engineer.
14. TOGAF or equivalent experience.
15. Relevant degree or equivalent experience.
16. Experience working in multiple global organizations.