DescriptionJoin a team that defines and implements the strategy of the Data and Analytics organization!
As a Strategy Lead within the Data and Analytics organization you will play a key role in defining and implementing the Strategy of the entire Data and Analytics organization and interface with senior stakeholders leveraging a blend of analytical skills and business acumen to drive impactful results that inform strategic decisions.
Job Responsibilities:
- Lead the creation of strategic reports and white papers that articulate various aspects of Chase-wide data strategy initiatives synthesizing inputs from subject matter experts
- Assist in directing Data and Analytics strategic projects aligned with the companys business objectives driving for impact and leading to actionable outcomes for senior leaders to take forward.
- Identify opportunities for leveraging data to drive business growth operational efficiency and competitive advantage and promote the use of data and analytics in decision-making processes.
- Provide high-quality storytelling and material to the Senior Leadership of D&A for various forums ensuring alignment with the CDAOs firm-wide strategy vision and support ad-hoc requests from Senior Leaders.
- Work closely with senior leaders in Data and Analytics and other Functions to understand business needs and translate them into data-centric initiatives and align through constant engagement with stakeholders incorporating their feedback and shaping their thinking.
- Communicate complex data concepts and insights to non-technical stakeholders in a clear and actionable manner and collaborate with a high-performing team of data scientists analysts and data engineers and foster a collaborative and innovative team environment.
Required Qualifications Capabilities and Skills:
- MSc. in a scientific field (Mathematics Physics Computer Science Engineering etc.)
- 7 years of Financial Services technology experience; 3 years of management experience; 3 years of experience in Corporate Strategy (in-house or top tier consulting firm)
- Fluency in technical Data and Analytics concepts and practices including modern tools of data management and advanced analytics garnering respect from engineers and data scientists alike
Preferred Qualifications Capabilities and Skills:
- Experience in Cloud and Big Data platforms such as AWS Snowflake Hadoop Hive Pig Apache Spark etc.
- Experience in leveraging AI/ML/Advanced Analytics/Knowledge Graphs with actual impact.