EY EYP-TSE-IT-Associate Manager 

India, Karnataka, Bengaluru 

374549142

Data Strategy Development:

• Develop and implement a comprehensive data strategy aligned with the FinCrime Platform goals and objectives.
• Identify opportunities for leveraging data analytics to enhance business performance and decision-making.

Data Management:

• Oversee data management processes, ensuring data integrity, accuracy, and availability.
• Implement best practices for data storage, retrieval, and usage across the organization.

Data Governance:

• Establish and enforce data governance policies and procedures to ensure compliance with regulatory requirements and industry standards.
• Collaborate with stakeholders to define data ownership, stewardship, and accountability.

Data Quality Assurance:

• Monitor and assess data quality metrics, implementing corrective actions as necessary to maintain high data quality standards.
• Conduct regular audits and assessments of data sources and processes.

Reporting and Analytics:

• Develop and maintain reporting frameworks to provide insights into data usage and performance.
• Collaborate with analytics teams to create dashboards and reports that support business decision-making.

Stakeholder Engagement:

• Work closely with cross-functional teams to understand data needs and provide support in data-related initiatives.
• Serve as a point of contact for data-related inquiries and issues.

Team Management:

• Manage and mentor a team of data professionals, fostering a collaborative and high-performance culture.
• Provide guidance and support in the development of team members' skills and career growth.
• Set clear performance expectations and conduct regular performance reviews.

Qualifications:

• Bachelor’s degree in Data Science, Information Management, Business Administration, or a related field. Master’s degree preferred.
• Proven experience in data management, governance, and analytics.
• Strong understanding of data quality principles and best practices.
• Excellent analytical and problem-solving skills.
• Strong communication and interpersonal skills, with the ability to engage and influence stakeholders at all levels.
• Familiarity with data management tools and technologies.

Required Skills:

• Proven experience in Databricks, including DataLake, Jobs, Workflows, and Catalog.
• Proficiency in Data Factory pipelines and ETL processes.
• Knowledge of medallion architecture and data processing methodologies.
• Strong SQL skills for data querying and manipulation.
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Understanding of data privacy regulations and compliance (e.g., GDPR, CCPA).

Nice to Have:

• Familiarity with machine learning (ML) and artificial intelligence (AI) concepts.
• Experience with big data technologies and frameworks.