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ESG Data Lead
Diageo
posted 2mon ago
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Flexible timing
Key skills for the job
Job Description
The purpose of this role is to improve a domains data maturity. The role will work with product managers and data owners to drive the appropriate data domain & data asset activities in the aim of delivering fit for purpose analytical data. This will cover both project and BAU activities . These activities will cover the governance of metadata , tracking project compliance with data policies, developing data issue resolution processes, educating business users on their responsibilities with data, and tracking data quality through various systems and teams . The role owner will write the strategy for delivering data management within their domain and then see it implemented through close stakeholder management and influencing.
Key Responsibilities
Data Strategy and Governance:
- Develop and implement a comprehensive Value Stream (VS) data strategy
- Implement and enforce data and analytical governance policies within the VS analytical data
Data Quality and Performance:
- Establish and monitor data quality metrics end to end for analytical data and products within the VS
- I mplement processes to address and improve trust in data
- Manage the total cost of the VS data processing and storage to deliver optimal value
Data Hierarchies:
- Manage governance for hierarchies in BAU and within projects ensuring that data is interoperable with other data assets
- A lign new data sources to the globally agreed hierarchies
Documentation and Communication:
- Document data processes, methodologies, and solutions for knowledge sharing and training purposes
- Govern metadata documentation of th e VS KPIs, data assets and products within Alation
- Communicate complex technical concepts to non-technical stakeholders effectively
Stakeholder Collaboration:
- Work closely with cross-functional teams to understand and implement data requirements
- Collaborate with executives, department heads, and other stakeholders to align data initiatives with VS objectives
Key Qualifications and Skills
An ideal Analytics Data Lead should have a combination of technical expertise , leadership skills, and business acumen to effectively drive the VS/Function`s data initiatives and contribute to its overall success.
Essential Skills for this position
- Strong proficiency in data management, analytics tools, and a grounding in programming (e.g., SQL, Python).
- In-depth knowledge of data governance principles and best practices.
- Experience with cloud platforms (e.g., Azure, GCP) and big data technologies.
- Excellent communication, presentation, and interpersonal skills.
- Ability to think strategically and drive results in a fast-paced environment.
- Experience in project delivery/leadership - preferably in agile project
Preferred Skills
- Certification in data management or analytics (e.g., CDMP, DASCA).
- Familiarity with data visualization tools (e.g. , Power BI).
- Experience with agile methodologies and project management.
- Experience with change management
- Knowledge of industry-specific regulations related to data (e.g., GDPR, HIPAA).
Employment Type: Full Time, Permanent
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Flexible timing
Monday to Friday
No travel
Day Shift
Diageo Benefits
Health Insurance 
Work From Home 
Job Training 
Soft Skill Training 
Free Transport 
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