Data Product Manager at Barclays directing data architecture to support business strategy and stakeholder needs. Collaborating with engineers and analysts to ensure data quality and accessibility.
Responsibilities
Define, direct and govern the bank’s target data architecture to support business strategy.
Develop the banks data architecture strategy and transition plan.
Collaborate with stakeholders, including data operations and engineers.
Develop and maintain data architecture governance, standards and protection policies.
Manage alignment of projects to the target data architecture.
Define shared reusable data capabilities and tools for seamless data access.
Monitor regulatory standards and industry developments.
Identify and select best-in-class data technologies and assess compliance.
Requirements
Extensive experience in product management within data, analytics, or digital transformation environments.
Strong grasp of modern data architectures, data governance frameworks, and regulatory considerations.
Experience with AWS services such as S3, Glue, Lambda, Step Functions, EMR, DynamoDB, Redshift, CloudWatch, and IAM.
Strong hands-on familiarity with Databricks, including Delta Lake, Unity Catalog, MLflow, data engineering workflows, and SQL/PySpark based analytics.
Proven capability in requirements gathering, analysis, story writing, backlog management, and acceptance criteria definition.
Expertise influencing and leading delivery squads, steering agile ceremonies, and resolving prioritization or design challenges.
Analytical mindset with expertise in interpreting data to inform product development and strategic decision-making.
Excellent communication and stakeholder management abilities, adept at conveying complex data concepts for diverse audiences.
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