Head Of Data

Head of Data & Analytics

An established organisation is seeking an experienced Head of Data & Analytics to lead its data function and drive innovation through analytics, machine learning, and insight-led strategy. This senior role involves shaping the company's data vision, scaling a high-performing analytics team, and ensuring data-driven decision-making across all business areas.

Key Responsibilities

Leadership & Strategy

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Define and deliver a comprehensive data strategy aligned to business objectives.
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Build, lead, and mentor a multidisciplinary team of data scientists, engineers, and analysts.
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Partner with senior stakeholders across technology, finance, commercial, and operations to implement impactful data initiatives.

Technical Delivery

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Oversee the design, development, and deployment of advanced analytics and machine learning models.
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Champion best practices in experimentation, data science governance, and model lifecycle management.
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Stay current with emerging technologies in AI/ML to maintain a culture of continuous innovation.

Business Enablement

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Translate data into clear, actionable insights that inform strategy and performance.
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Quantify and communicate the ROI of key data projects.
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Identify opportunities to leverage data for competitive advantage, customer insight, and operational improvement.

Data Infrastructure & Governance

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Ensure data platforms and pipelines are scalable, secure, and reliable.
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Promote strong data governance, accuracy, privacy, and ethical AI practices.

Reporting & Collaboration

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Ensure timely delivery of analytical reports and dashboards to stakeholders.
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Collaborate with internal teams to resolve data discrepancies and improve reporting consistency.

Required Experience

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8+ years' experience in data science or advanced analytics roles.
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At least 3 years in a leadership or people management capacity.
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Proven ability to communicate technical insights to senior, non-technical audiences.
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Strong commercial awareness and problem-solving capability.
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Deep experience with statistical modelling, predictive analytics, and machine learning.
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End-to-end project ownership of data science solutions from concept to production, including ML life cycle management (e.g., MLflow, Weights & Biases).
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Exposure to streaming technologies (Kafka, Kinesis, Azure Event Hubs).
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Proficiency in Python, R, SQL, and common ML frameworks (scikit-learn, TensorFlow, PyTorch).
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Familiarity with cloud data environments (AWS, Azure, GCP) and orchestration tools such as Airflow, Spark, DBT, or Purview.

Qualifications

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Master's or PhD in Computer Science, Statistics, Mathematics, Engineering, or related discipline preferred.

If you're a strategic data leader passionate about scaling teams and delivering measurable business value through data, we'd love to connect.