DescriptionThe Chief Data & Analytics Office (CDAO) at JPMorgan Chase is pivotal in advancing the firms data and analytics capabilities ensuring strong adherence to data & AI risk & control while enabling the data & analytics strategy for superior decision-making and business outcomes to serve our clients and markets. By leveraging data & AI/ML the CDAO develops innovative solutions to support commercial goals enhance productivity and manage risks. The Asia Pacific Chief Data & Analytics Office (CDAO) advances the firms data and analytics strategy platforms solutions capabilities and governance to deliver trustworthy responsible innovative and commercially value outcomes across the APAC markets and businesses.
The Head of Data Strategy and Commercialization APAC will establish firmwide approaches to adopting our data strategy focusing on designating data authority from source and making data available for a wide range of leader will interact with teams across the firm including lines of business and corporate functions and play an instrumental role in planning collaborating and executing complex data strategy initiatives. It is critical to communicate effectively with leadership and stakeholders guide team members and take ownership of data strategy concepts that impact end user products.
Key Responsibilities:
- Define and execute the APAC data strategy and roadmap ensuring alignment with global and regional priorities to support business growth business process innovation and operational efficiency.
- Collaborate with business stakeholders to identify and prioritize the availability and usage of critical data assets as data products to enable high-value use cases and opportunities across business lines and functions.
- Work with business units to understand data needs translate them into technical requirements and deliver actionable data solutions.
- Ensure the implementation and adoption of robust data management frameworks covering data architecture data modeling metadata management data lineage and data cataloging
- Collaborate with engineering and analytics teams to build scalable data pipelines data lakes and data warehouses for effective storage processing and retrieval.
- Lead cross-functional teams to deliver data projects from concept to launch ensuring technical feasibility and business value.
- Oversee the full lifecycle of strategic data initiatives from concept and experimentation to production deployment and adoption.
- Act as a trusted advisor on data strategy and execution for senior stakeholders ensuring consistent messaging and coordination across internal teams.
- Analyze market trends and customer needs to inform data product development and commercialization strategies.
- Build and maintain strong relationships with internal and external stakeholders including technology business risk and compliance teams.
- Track performance of data products and initiatives providing insights and recommendations for improvement using advanced analytics and reporting tools.
- Stay updated on industry best practices emerging technologies and regulatory changes related to data management and data products.
Required Qualifications Capabilities and Skills
- Bachelors in Computer Science Artificial Intelligence Applied Statistics Mathematics or related quantitative field.
- Formal training or certification on experience in AI/ML solution development delivery and technical leadership within financial services and 15 years of experience in a similar role
- Experience working in data strategy & analysis from collection and cleaning to analysis and interpretation ensuring data quality and making data-driven decisions.
- Experience engaging with regulators and participating in regulatory consultations.
- Experience with data governance frameworks processes and regulatory requirements.
- Experience collaborating with cross-functional teams across regions and building scalable capabilities.
- Ability to handle ambiguity and uncertainty navigate complex situations and make informed decisions.
- Understanding of APAC regulatory nuances and managing the regulatory landscape in a global organization.
- Exceptional written and verbal communication skills with the ability to articulate strategic direction and technical concepts to diverse audiences.
- Strategic thinker with a track record of developing innovative solutions.
Preferred Qualifications Capabilities and Skills
- Experience in the financial services industry particularly in APAC.
- Prior experience working with or managing globally distributed technical teams.
Required Experience:
Chief
DescriptionThe Chief Data & Analytics Office (CDAO) at JPMorgan Chase is pivotal in advancing the firms data and analytics capabilities ensuring strong adherence to data & AI risk & control while enabling the data & analytics strategy for superior decision-making and business outcomes to serve our c...
DescriptionThe Chief Data & Analytics Office (CDAO) at JPMorgan Chase is pivotal in advancing the firms data and analytics capabilities ensuring strong adherence to data & AI risk & control while enabling the data & analytics strategy for superior decision-making and business outcomes to serve our clients and markets. By leveraging data & AI/ML the CDAO develops innovative solutions to support commercial goals enhance productivity and manage risks. The Asia Pacific Chief Data & Analytics Office (CDAO) advances the firms data and analytics strategy platforms solutions capabilities and governance to deliver trustworthy responsible innovative and commercially value outcomes across the APAC markets and businesses.
The Head of Data Strategy and Commercialization APAC will establish firmwide approaches to adopting our data strategy focusing on designating data authority from source and making data available for a wide range of leader will interact with teams across the firm including lines of business and corporate functions and play an instrumental role in planning collaborating and executing complex data strategy initiatives. It is critical to communicate effectively with leadership and stakeholders guide team members and take ownership of data strategy concepts that impact end user products.
Key Responsibilities:
- Define and execute the APAC data strategy and roadmap ensuring alignment with global and regional priorities to support business growth business process innovation and operational efficiency.
- Collaborate with business stakeholders to identify and prioritize the availability and usage of critical data assets as data products to enable high-value use cases and opportunities across business lines and functions.
- Work with business units to understand data needs translate them into technical requirements and deliver actionable data solutions.
- Ensure the implementation and adoption of robust data management frameworks covering data architecture data modeling metadata management data lineage and data cataloging
- Collaborate with engineering and analytics teams to build scalable data pipelines data lakes and data warehouses for effective storage processing and retrieval.
- Lead cross-functional teams to deliver data projects from concept to launch ensuring technical feasibility and business value.
- Oversee the full lifecycle of strategic data initiatives from concept and experimentation to production deployment and adoption.
- Act as a trusted advisor on data strategy and execution for senior stakeholders ensuring consistent messaging and coordination across internal teams.
- Analyze market trends and customer needs to inform data product development and commercialization strategies.
- Build and maintain strong relationships with internal and external stakeholders including technology business risk and compliance teams.
- Track performance of data products and initiatives providing insights and recommendations for improvement using advanced analytics and reporting tools.
- Stay updated on industry best practices emerging technologies and regulatory changes related to data management and data products.
Required Qualifications Capabilities and Skills
- Bachelors in Computer Science Artificial Intelligence Applied Statistics Mathematics or related quantitative field.
- Formal training or certification on experience in AI/ML solution development delivery and technical leadership within financial services and 15 years of experience in a similar role
- Experience working in data strategy & analysis from collection and cleaning to analysis and interpretation ensuring data quality and making data-driven decisions.
- Experience engaging with regulators and participating in regulatory consultations.
- Experience with data governance frameworks processes and regulatory requirements.
- Experience collaborating with cross-functional teams across regions and building scalable capabilities.
- Ability to handle ambiguity and uncertainty navigate complex situations and make informed decisions.
- Understanding of APAC regulatory nuances and managing the regulatory landscape in a global organization.
- Exceptional written and verbal communication skills with the ability to articulate strategic direction and technical concepts to diverse audiences.
- Strategic thinker with a track record of developing innovative solutions.
Preferred Qualifications Capabilities and Skills
- Experience in the financial services industry particularly in APAC.
- Prior experience working with or managing globally distributed technical teams.
Required Experience:
Chief
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