Fincrime Data Owner -RCE

Job Descriptions:

Job Title: FinCrime Data Owner

Job Summary:  The Data Owner will be responsible for owning and overseeing the Data & Analytics pillar of the FinCrime Platform and will participate in the FinCrime Steering Committee (SteerCo). This role is critical in ensuring the effective use of data analytics to drive business insights and support decision-making processes. The Data Owner will manage data governance, quality, and reporting, ensuring that data is accurate, accessible, and utilized effectively across the organization.

Key Responsibilities:

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.