Citi Group TTS Data & Analytics Product Manager - SVP 

Singapore, Singapore 

552358494

• Understand the drivers of business results and how data/analytics can accelerate outcomes; drive theory to execution with business partners to directly impact results
• Lead the design and development of analytical projects to understand key business behaviors that drive customer acquisition, retention, and engagement - Use of AI / ML on the identified business behaviors to drive outcomes
• Identify data driven targeting and program improvement opportunities to acquire new customers, increase portfolio sales, reduce attrition and optimize profitability
• Navigate across business lines (e.g. with Markets, Banking) to uncover new insights and potentially new business models, growth vectors, or products by looking across multiple datasets
• Create a multi-year data & analytics roadmap and agenda for TTS Asia Clusters, with appropriate prioritization; track progress / measure results
  • Gather the data needs of the region and countries and present it to the global team for ingestion and availability
  • Be the bridge between the business and the data science team
  • Deployment and commercialization of use cases
  • Demonstrate high degree of ownership of use cases
  • Influence business outcomes without direct authority
• Unlock new value through data sharing / data exchanges with external clients
• Influence business outcomes without direct authority
• Investigate and leverage external tools and data assets
• Tracking return on investments (ROI) of use cases that have been implemented.
• Continually, succinctly, and clearly communicate progress and results against the data/analytics agenda within the team, with peers, and with executive management both within and across business lines
• Continually “bring the outside in” to learn and deploy best practices from other organizations or industry forums
  

• 10+ years of working experience in Data Management & Analytics; within Transaction Banking in Financial Services is a plus
• Bachelor's degree in Statistics, Finance, Math, Operations Research or other related fields; Master's is a "Good To Have"
• Previous experience working with large volumes of data and strong understanding of data analytics - traditional business analytics and modern data science techniques
• Can understand business needs and translate into analytical execution, including the supervision and review of the analysis, with a critical eye
• Can interface with technology to scale solutions if needed
• Understanding of Cloud technologies (AWS, GCP, Azure etc. ) offering and data sharing capabilities is a plus

• Self-motivated & accountable – demonstrated ability to follow through to execution
• Project Management Skills, ability to lead cross functional teams towards a common vision
• Organized – can juggle multiple, potentially competing priorities with aplomb
• Detail oriented – focus a lot on quality
• Good communication skills – able to clearly articulate complex strategies/techniques and ideas, in both verbal and written form, to senior management, with associated poise
• Execution oriented – doesn’t remain in the theoretical; is able to make choices/decisions in the name of delivering rapid business impact
• Collaborative – easy to work with, across all levels of the organization; builds effective working relationships
• Bias for change – actively seeks out ways to improve processes, people, etc.
• Influencing skills – able to influence outcomes without necessarily direct authority; experienced in navigating large complex organizations to achieve results
  

• Can work across boundaries, both organizational and geographic
• Has an eye for talent and can create teams from scratch.

Time Type:

View the " " poster. View the .

View the .

View the