DescriptionJob summary:
As a Vice President in the Securities Services Chief Data and Analytics Office (CDAO) you will lead the development and execution of our AI/ML strategy and governance. Collaborating across business areas operations quantitative research data science and technology teams you will define and deliver a scalable data and AI platform. Your role is crucial in shaping the strategic data and AI/ML agenda globally driving innovation and advancing our digital agenda through data analytics and AI/ML.
Job responsibilities:
- Drive the development and delivery of our strategic AI/ML platform.
- Collaborate with senior business and functional leaders to identify define and prioritize critical data and AI/ML needs ensuring effective governance and integration.
- Design and deliver products by integrating data into analytics platforms for projects such as machine learning and artificial intelligence.
- Oversee the end-to-end AI model lifecycle from ideation and development to deployment and optimization.
- Provide thought leadership monitor industry trends and emerging technologies to identify AI/ML opportunities to transform business processes and scale Custody Fund Accounting and Trading Services product.
- Establish and maintain collaborative partnerships with stakeholders to enhance data understanding and quality.
- Lead the creation and implementation of processes to identify monitor and mitigate data risks including protection retention and quality.
- Deliver data and AI/ML strategy initiatives ensuring alignment with business goals and collaborate with senior leadership to prioritize and execute critical projects.
- Drive data and AI/ML governance and risk management efforts providing subject matter expertise and driving collaboration across functions.
Required qualifications capabilities and skills:
- Relevant experience with a proven track record in developing and delivering enterprise-scale data and AI/ML strategy.
- Extensive product management experience. Experience in data analytics and AI/ML is a plus.
- Financial services industry domain expertise at large global organizations.
- Ability to lead and mentor cross-functional teams with strong strategic thinking and decision-making skills.
- understanding of data management principles governance frameworks and lifecycle management.
- Strong analytical and problem-solving skills translating complex data concepts into actionable business strategies.
- Excellent communication skills effectively conveying complex data concepts to both technical and non-technical stakeholders.
- Understanding of regulatory and control landscape and its impact on strategy and delivery.
- Experience and track record in delivering products from ideation to production
Preferred qualifications capabilities and skills:
- Deep experience in productionalizing AI solutions for business adoption
- Experience with AI technologies
- Demonstrable track record in delivering scalable AI solutions
- Background in program management for quant projects is a plus
- Deep knowledge of data governance and controls.
- Experience with or knowledge of cloud-based data platforms and technologies such as AWS Azure or Google Cloud.
- Experience with advanced analytics machine learning or artificial intelligence applications in a business context. Experience in agile methodologies is a plus.
Required Experience:
Exec
DescriptionJob summary:As a Vice President in the Securities Services Chief Data and Analytics Office (CDAO) you will lead the development and execution of our AI/ML strategy and governance. Collaborating across business areas operations quantitative research data science and technology teams you wi...
DescriptionJob summary:
As a Vice President in the Securities Services Chief Data and Analytics Office (CDAO) you will lead the development and execution of our AI/ML strategy and governance. Collaborating across business areas operations quantitative research data science and technology teams you will define and deliver a scalable data and AI platform. Your role is crucial in shaping the strategic data and AI/ML agenda globally driving innovation and advancing our digital agenda through data analytics and AI/ML.
Job responsibilities:
- Drive the development and delivery of our strategic AI/ML platform.
- Collaborate with senior business and functional leaders to identify define and prioritize critical data and AI/ML needs ensuring effective governance and integration.
- Design and deliver products by integrating data into analytics platforms for projects such as machine learning and artificial intelligence.
- Oversee the end-to-end AI model lifecycle from ideation and development to deployment and optimization.
- Provide thought leadership monitor industry trends and emerging technologies to identify AI/ML opportunities to transform business processes and scale Custody Fund Accounting and Trading Services product.
- Establish and maintain collaborative partnerships with stakeholders to enhance data understanding and quality.
- Lead the creation and implementation of processes to identify monitor and mitigate data risks including protection retention and quality.
- Deliver data and AI/ML strategy initiatives ensuring alignment with business goals and collaborate with senior leadership to prioritize and execute critical projects.
- Drive data and AI/ML governance and risk management efforts providing subject matter expertise and driving collaboration across functions.
Required qualifications capabilities and skills:
- Relevant experience with a proven track record in developing and delivering enterprise-scale data and AI/ML strategy.
- Extensive product management experience. Experience in data analytics and AI/ML is a plus.
- Financial services industry domain expertise at large global organizations.
- Ability to lead and mentor cross-functional teams with strong strategic thinking and decision-making skills.
- understanding of data management principles governance frameworks and lifecycle management.
- Strong analytical and problem-solving skills translating complex data concepts into actionable business strategies.
- Excellent communication skills effectively conveying complex data concepts to both technical and non-technical stakeholders.
- Understanding of regulatory and control landscape and its impact on strategy and delivery.
- Experience and track record in delivering products from ideation to production
Preferred qualifications capabilities and skills:
- Deep experience in productionalizing AI solutions for business adoption
- Experience with AI technologies
- Demonstrable track record in delivering scalable AI solutions
- Background in program management for quant projects is a plus
- Deep knowledge of data governance and controls.
- Experience with or knowledge of cloud-based data platforms and technologies such as AWS Azure or Google Cloud.
- Experience with advanced analytics machine learning or artificial intelligence applications in a business context. Experience in agile methodologies is a plus.
Required Experience:
Exec
View more
View less