Data Strategy Lead

4 weeks ago

Maidenhead, Windsor and Maidenhead, United Kingdom SRG Full time
Data Strategy Lead

The Data Strategy Lead will be responsible for defining and driving the long-term vision to underpin the affiliate's ambitions of a significantly increased portfolio delivered through an omni-channel lens. This will fundamentally revolutionise the way we deliver to our customers and ultimately patients.

Data Management/Governance
Producing the right activities and processes around data to ensure data is properly managed in the business, through:
  • Data Standards and Quality: Improving data quality, taking full ownership for ensuring that our data meets corporate standards for quality, ensuring the data value and data risk needs are met, managing data quality standards where required, and accountable for producing production-strength data pipelines and solutions.
  • Data Architecture: Developing and enabling the framework on how the infrastructure supports the data strategy.
  • Master Data Management: Accountable to creating a technology-enabled discipline where there is uniformity, accuracy, stewardship, semantic consistency across shared master data assets.
  • Data Security and Compliance: Working with cross-functional teams to guard against intrusion, corruption, and loss of data, build strong data governance and data protection practices.
  • Data Accessibility: Mitigate any bottlenecks in accessing data, provide effective access to enterprise information, while also balancing the free flow of data (with the necessary safeguards).

Resource Planning
Setting of backlog priorities based on stakeholder feedback, ensuring the facilitation of daily sprint initiatives, enabling the communication between the team and stakeholders, providing coaching, handling administrative tasks, and shielding the team from external interferences during sprints.

Building a data culture
Evolving mindsets and working practices relating to data across all levels of the organisation.

Advancing data and analytics maturity
In conjunction with the Business Analytics team, ensuring that the business is consistently using data analytics to spark innovation that differentiates our business, supports our strategic priorities, and drives competitive advantage.

Data Engineering
Responsible for data ingestion, automation, and quality control, responsible for testing, error handling and resolution, management of the data architecture, data platforms, reporting and analytics platforms.

Stakeholder Engagement
As a member of the Data and Analytics governance team, prioritising projects to deliver the most value, ensuring a very close working relationship with Customer Excellence functions (Local, WEC and Global), Finance and commercial functions to ensure strategic alignment across the business.

Team Management
Accountable for managing all data engineers and analysts, including setting team strategy, staff developing, hiring, retention planning and general line management responsibilities, 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, strong development skills - experience using Python, PySpark, SQL, Big Data experience (Palantir preferred), DataOps, Certified Data Management Professional and TOGAF, 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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