Description:

• Responsible for establishing a vision and strategy for the Bank’s data and analytics initiatives
• Develops and governs the Bank’s data and information strategy in order to drive organizational decisions and facilitate data sharing amongst various business teams.
• Develops data procedures and policies, and work closely with various departments to collect, prepare, organize, protect and analyze data assets while ensuring that the company meets industry best practices
• Improves and streamline data systems within the organization, and drive innovation in the area of enterprise-wide data and analytics

Key Responsibilities

• Serve as the corporate data systems Product Manager. Drive the strategy, development and deployment of the Bank’s data systems as well as a roadmap for its future development that aligns with the corporate strategy and business needs.
• Continuously assess and recommend enhancements to the Bank’s data architecture and underlying IT infrastructure to ensure data is economically captured, stored, secured, available and usable by appropriate parties throughout the business
• Direct prioritization, resourcing, and delivery of data initiatives across businesses and functions including but not limited to: Data Governance, Data Quality, Data Analytics, and Data Architecture.
• Define, manage and advance enterprise principles, policies and programs for stewardship, advocacy and custodianship of data and analytics.
• Responsible and accountable for the organization and implementation of data governance
• Establish Data Management goals, objectives, and operating procedures.
• Champion data and analytics value creation and governance as strategic disciplines.
• Partner with SBUs to design data analytics projects and develop specific analytical and data science capabilities to achieve organizational goals and operational improvements while enabling and nurturing data-driven decision making.
• Drive adoption of data management culture and related competencies as well as data literacy across the enterprise.
• Collaborate with analysts to facilitate the development and application of advanced analytic strategies and tactics

Qualifications and Requirements:

• Knowledge and moderate proficiency in R, Python (scikit learn, pandas, numpy, Jupyter etc.) SAS, SQL, MATLAB, C/C++
• Understanding of machine learning techniques and algorithms, such as Gradient Boosted Trees, CNN, RNN LSTM, etc.
• Experience with data visualization tools ex Tableau, Shiny
• Knowledge of the BI/DW lifecycle components including Source Data Analysis, ETL, ODS, Data Marts, and Data Mining.
• Expertise with ETL applications like SSIS, Informatica, Data Stage, etc.
• Results-oriented leader with a proven track record of leading a data transformation initiative.
• Advanced knowledge and experience with best in class data strategy design.
• Proven data literacy – ability to describe business use case/outcomes, data sources and management concepts.
• Excellent verbal communication skills, including the abilities to explain digital concepts and technologies to business leaders, explain business concepts to technologists and “sell” ideas and processes internally at all levels.
• Highly organized and experienced in leading/managing complex projects, initiatives and development
• Advanced knowledge and practical application of advanced statistical analysis and mathematical modeling concepts and principles.
• Data-oriented personality
• Ability to manage multiple and competing priorities

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