Data Lead

2 weeks ago

Maidenhead, Windsor and Maidenhead, United Kingdom SRG Full time
Job Description

SRG is seeking a highly skilled Data Lead to join their team in Maidenhead. The successful candidate will be responsible for directing all data resources to manage operational, tactical, and strategic data focused activities.

Key Responsibilities
  • Define and drive the long-term vision for data strategy to underpin the affiliate's ambitions.
  • Produce the right activities and processes around data to ensure data is properly managed in the business.
  • Develop and enable the framework on how the infrastructure supports the data strategy.
  • Accountable for creating a technology-enabled discipline where there is uniformity, accuracy, stewardship, semantic consistency across shared master data assets.
  • Work with cross-functional teams to guard against intrusion, corruption, and loss of data.
  • Mitigate any bottlenecks in accessing data, provide effective access to enterprise information, while also balancing the free flow of data (with the necessary safeguards).
  • Set of backlog priorities based on stakeholder feedback.
  • Manage release cycle plans inline with the business needs and team coordination and support of sprint progress.
Requirements
  • A desire to work in a collaborative, intellectually curious environment.
  • Experience mentoring and managing other Data Engineers/Analysts, ensuring data engineering best practices are being followed.
  • Experience in maintaining data warehouse systems and working on large scale data transformation, and knowledge of at least one MDM.
  • Educated to Degree level with 5+ years of Technical: Strong development skills – experience using Python, PySpark, SQL, Big Data experience (Palantir preferred), DataOps.
  • Certified Data Management Professional and TOGAF.
  • Strong interpersonal skills and the ability to communicate complex technology solutions to senior leadership, gain alignment, and drive progress.
  • Strong knowledge of architecture methodologies, principles, and frameworks.
  • Data Management best practice, including Data Lifecycle Management across Core IT & Big Data ecosystems as well as Data Privacy & Security constraints.
  • Knowledge and previous experience in Data Modelling.
  • A good level of knowledge of enterprise CRM systems (such as Veeva) and analytical dashboarding systems (such as QlikSense).

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