Senior Manager, Data Insights and Analytics

hace 3 meses

Bogotá Cundinamarca, Colombia Scotiabank A tiempo completo

**Requisition ID**: 199301

We are committed to investing in our employees and helping you continue your career at ScotiaGBS

**Purpose**

The purpose of this job is to provide added value to the divisional team and local operations by deriving actionable insights, optimizing performance and drive strategic decision-making based on data. The role will foster a culture of data-driven narratives, ensuring stakeholders easily grasp our progress toward objectives and make informed business decisions The incumbent will work & collaborate with Divisional and local counterparts in Canada, LATAM and Caribbean regions to set these initiatives in motion and drive their benefits. The incumbent will be under the guidance & supervision of the Director.

**Accountabilities**
- Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
- Leads 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.
- Interprets data beyond surface analysis. Presents and uncovers valuable insights through thorough exploration, hypothesis testing and a deep understanding of the information using existing environments, data and metrics. Navigates data intricacies and consistently pushes boundaries to validate hypothesis.
- Team development. Leads and mentors a team of data analysts, fostering a culture of data-driven decision-making and innovation.
- Cross-functional collaboration. Works 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. Identifies enhancements to data collection processes and works with internal team leads to ensure higher quality, reliability, and efficiency in data and reporting.
- Present insights. Produces 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.
- Divisional Data Insights Disciplines.
- Maintains 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.
- Establishes a forum with Divisional and local teams focused on identifying business problems/questions that can be solved with data. Prioritizes these under a Divisional lens.
- Monitors the pertinence of existing metrics and reports and makes recommendations on Divisional Data/Reporting changes.
- Creates and executes 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.
- Leads data-insights projects. Creates and executes projects or initiatives that seek to address business questions via data.
- Leads Advanced Analytics (AA) / Machine Learning (ML) / Artificial Intelligence (AI) initiatives within the team.
- Proactively identifies 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, champions and obtains Executive support for these use cases and prepares Divisional Business Cases and/or secures funding/participation from Customer Insights Data and Analytics as well as proper Project Management and other critical stakeholders.
- Acts 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.
- Establishes a framework to monitor and calibrate AA/ML/AI models within Collections and ensures all required components are built within the different projects.
- Socializes benefits from all implemented AA/ML/AI initiatives to executive audiences within the organization in addition to critical stakeholders
- Establishes and Manages a Divisional Forum for AA/ML/AI initiatives where member countries can share/learn/replicate local initiatives.
- Co-Leads Business as Usual activities related to insights and analytics as established within the Divisional Reporting Framework
- Generates 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.
- Partners with collections teams to dissect insights from monthly, weekly, quarterly reports to be used within any forum as required.
- Stays abreast of emerging technical trends and ensures activities are alway

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