Senior Manager, Data Insights and Analytics Lead

hace 3 semanas

Bogotá, Bogotá D.E., Colombia Scotiabank A tiempo completo

Job Summary

We are seeking a highly skilled Senior Manager, Data Insights and Analytics to join our team at ScotiaGBS. This role will be responsible for providing added value to the divisional team and local operations by deriving actionable insights, optimizing performance, and driving strategic decision-making based on data.

Key Responsibilities

  • Champion a customer-focused culture to deepen client relationships and leverage broader Bank relationships, systems, and knowledge.
  • Lead the "Insights and Analytics" area within the team by executing strategies that foster a new way of thinking around data-driven decisions, ensuring it is driven by standardization to elevate divisional efficiencies and steer critical business strategies.
  • Interpret data beyond surface analysis, presenting and uncovering valuable insights through thorough exploration, hypothesis testing, and a deep understanding of the information using existing environments, data, and metrics.
  • Team development: lead and mentor a team of data analysts, fostering a culture of data-driven decision-making and innovation.
  • Cross-functional collaboration: work closely with business leaders from different teams to understand their performance needs, enabling the team to build data visualizations and advanced dashboards to support internal decision-making.
  • Process Enhancement: identify enhancements to data collection processes and work with internal team leads to ensure higher quality, reliability, and efficiency in data and reporting.
  • Present insights: produce visuals (charts, infographics) and presentations to communicate findings clearly and effectively to stakeholders and leadership to ensure the right investments to drive the objectives of the organization are being met.
  • Maintain a close relationship with Divisional and local teams to identify emerging needs for analysis, metrics, or reports and aligns these needs with the Divisional Data and Reporting Strategy Framework.
  • Establish a forum with Divisional and local teams focused on identifying business problems/questions that can be solved with data. Prioritize these under a Divisional lens.
  • Monitor the pertinence of existing metrics and reports and make recommendations on Divisional Data/Reporting changes.
  • Create and execute the divisional communication strategy for data insights in Collections, including establishing an ongoing platform to communicate monthly/quarterly data-driven narratives to Collections Executives, divisional, and operational teams.
  • Lead data-insights projects: create and execute projects or initiatives that seek to address business questions via data.
  • Lead Advanced Analytics (AA)/Machine Learning (ML)/Artificial Intelligence (AI) initiatives within the team.
  • Proactively identify divisional use cases where AA/ML/AI can be used that have add value and have a high return on investment for Collections.
  • Together with the Director, champion and obtain Executive support for these use cases and prepare Divisional Business Cases and/or secure funding/participation from Customer Insights Data and Analytics as well as proper Project Management and other critical stakeholders.
  • Act as Collections SME, ensuring that Divisional AA/ML/AI projects are properly framed and executed from the technical perspective and add value to the organization, including the productionalization of AA/ML/AI models within Collections operations.
  • Establish a framework to monitor and calibrate AA/ML/AI models within Collections and ensure all required components are built within the different projects.
  • Socialize benefits from all implemented AA/ML/AI initiatives to executive audiences within the organization in addition to critical stakeholders.
  • Establish and manage a Divisional Forum for AA/ML/AI initiatives where member countries can share/learn/replicate local initiatives.
  • Co-lead Business as Usual activities related to insights and analytics as established within the Divisional Reporting Framework.
  • Generate insights and cohesive narratives based on data for ongoing reports, ensuring these are presented in well-designed formats and are distributed appropriately within the established timeframes.
  • Partner with collections teams to dissect insights from monthly, weekly, quarterly reports to be used within any forum as required.
  • Stay abreast of emerging technical trends and ensure activities are always delivered with a best practice and innovation approach, reflecting appropriate technological developments for competitive business position.
  • Work in a liaison with the Data and Reporting Leads within the team to develop and maintain programs and automation that support data architecture and enhance data quality.
  • Understand how the Bank's risk appetite and risk culture should be considered in day-to-day activities and decisions.
  • Actively pursue effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to, and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk, and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook, and the Guidelines for Business Conduct.
  • Champion a high-performance environment and implement a people strategy that attracts, retains, develops, and motivates their team by fostering an inclusive work environment; communicating vision/values/business strategy and managing succession and development planning for the team.

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