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Contenido de trabajo

Provides technical and organizational leadership across multiple areas the organizational and functional effectiveness of data science products. Responsible for growing, promoting and deploying the effective utilization of data products in support of the strategic priorities. Develop organizational leadership in techniques and methods to support data decisioning. Develop and communicate insights leveraging the scientific method. Roles may specialize into 3 domain specialties: model science, feature science and Insight science capabilities. Accountable for developing and guiding more junior members and communicating findings, approaches and insights from data products. Responsible for guiding own work for deployment and support. Leads complex initiatives with direct strategic impact. Maintains and grows cross organizational reltionships to further the development of data science across the enterprise. Establishes relationships to obtain data and subject knowledge needed to support advanced analytics. Conducts studies to provide additional facts needed to make informed decisions with regard to organizational and functional effectiveness with data decisioning. Develops consultative partnerships with internal teams to understand their strategic objectives, key performance indicators and reporting requirements. Extracts business insights to guide direction of learning activities and drive organizational efficiencies, effectiveness and outcomes. Maintains knowledge of company’s total computing environment and planned changes in order to develop meaningful data science products. Collaborates with and supports leaders and their teams from multiple areas of expertise to ensure strategies and data science products are aligned and support business and operating results. Contributes to the achievement of area objectives MODIFIED BASED UPON LOCAL REGULATIONS/REQUIREMENTS Bachelor’s degree in a related discipline or equivalent work experience required; advanced degree is beneficial 10-12 years of related experience required; experience in the securities or financial services industry is a plus

Qualifications

Provides technical and organizational leadership across multiple areas the organizational and functional effectiveness of data science products. Responsible for growing, promoting and deploying the effective utilization of data products in support of the strategic priorities. Develop organizational leadership in techniques and methods to support data decisioning. Develop and communicate insights leveraging the scientific method. Roles may specialize into 3 domain specialties: model science, feature science and Insight science capabilities. Accountable for developing and guiding more junior members and communicating findings, approaches and insights from data products. Responsible for guiding own work for deployment and support. Leads complex initiatives with direct strategic impact. Maintains and grows cross organizational reltionships to further the development of data science across the enterprise. Establishes relationships to obtain data and subject knowledge needed to support advanced analytics. Conducts studies to provide additional facts needed to make informed decisions with regard to organizational and functional effectiveness with data decisioning. Develops consultative partnerships with internal teams to understand their strategic objectives, key performance indicators and reporting requirements. Extracts business insights to guide direction of learning activities and drive organizational efficiencies, effectiveness and outcomes. Maintains knowledge of company’s total computing environment and planned changes in order to develop meaningful data science products. Collaborates with and supports leaders and their teams from multiple areas of expertise to ensure strategies and data science products are aligned and support business and operating results. Contributes to the achievement of area objectives MODIFIED BASED UPON LOCAL REGULATIONS/REQUIREMENTS Bachelor’s degree in a related discipline or equivalent work experience required; advanced degree is beneficial 10-12 years of related experience required; experience in the securities or financial services industry is a plus



BNY Mellon is an Equal Employment Opportunity Employer.
Our ambition is to build the best global team – one that is representative and inclusive of the diverse talent, clients and communities we work with and serve – and to empower our team to do their best work. We support wellbeing and a balanced life, and offer a range of family-friendly, inclusive employment policies and employee forums.

Primary Location:India-Maharashtra-Pune
Job:Information Technology
Internal Jobcode:96081
Organization:Treasury Services CAO-HR07164
Requisition Number:2112931
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Plazo: 20-06-2024

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