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What are the key responsibilities / activities of the role:

• Develop and implement a comprehensive data strategy for the organisation, which includes defining data standards, policies and procedures for data management, ensuring compliance with data privacy regulations, and promoting a data-driven culture throughout the organisation.
• Work with product owners and tech leads to ensure products and systems are set up to optimise the delivery of high-quality analytics.
• Manage the company's data infrastructure, including data storage, security, and accessibility.
• Promote data-informed decision making throughout the company.
• Partner with finance, commercial, marketing, operations and other departments, to build a full suite of reports, analytics and dashboards that serve as a single source of truth.
• Oversee the development and implementation of data governance frameworks to ensure data accuracy, completeness and integrity, and reduce the risk of data breaches or other security incidents.
• Manage the data lifecycle, from data acquisition to archiving, ensuring that data is available when needed, and deleted when no longer required.
• Hire and lead a team of data scientists, analysts and engineers, mandate team OKRs and ensure high quality output from all team members.
• Support internal data literacy programs to educate teams about the use of data to help make better informed decisions.

What is the scope of accountability for the role:

• Responsible for overseeing the company's data strategy, ensuring the effective use of data to drive data-driven decision-making
• Responsible for managing the data architecture, data governance, and data security

What are the essential skills, qualifications and experience required for the role?

• 8+ years of experience in a data-related role, with at least 3 years of experience in a leadership or management position.
• Extensive and relevant work experience leading and growing a high-performing Data & Analytics team in a dynamic environment.
• Experience in hiring, onboarding and leading a team of data professionals, specifically Data Analysts, Data Engineers, and Data Scientists.
• A proven track record of leveraging data to drive business growth.
• Strong problem-solving skills, with the ability to identify and resolve complex data-related challenges

What are the desirable skills, qualifications and experience that would be beneficial for the role?

• ELT skills experience in Modern Data Stack
• Data Ingestion: Stitch/AWS Kinesis/Firehose
• Data Warehouse: Redshift(preferred)/Snowflake/Big Query (any)
• Data Transformation: DBT (Data Build Tool) (any)
• Data Orchestration: Dagster (preferred)/Airflow/Prefect (any)
• Serverless: AWS Lambda
• Container Management: AWS ECS
• DevOps: Github, AWS CodePipeline, AWS CloudFormation