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Added 2 mins ago
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Scotiabank

Head of Global HR Analytics & Data Office

Toronto, ON, M5H 1H1, Canada

Posting language: English
Posted: Sep 23, 2026

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Original job description

Requisition ID: 274279

Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

The Head of Global HR Analytics and Data Office leads and oversees a team comprised of the global data office; analytics and insights; advanced analytics capabilities; reporting and visualization; and AI. This role is the primary contact for all matters related to Global Human Resources data and is the champion for advancing analytics capabilities, technologies, human capital insights and a culture of data literacy.

As the Global Human Resources Data leader, this position oversees the data office and manages the design, development and implementation of data strategies; data standards; data products; data procedures; data governance; and data security all in alignment with the Bank’s data governance framework. This role is also accountable for developing and driving our advanced people analytics capabilities and to create data and analytics assets while advancing our behavioral science reach.

A key aspect of this role is to provide the experience and thought leadership to evolve our data strategy roadmap to achieve a consolidated and consistent global view of data across multiple systems and geographies. They will provide oversight and support for applied employee research, data mining, advanced analytics, and the development of predictive models to further our understanding of the workforce and improve employee experience.

This position is responsible for the production of all monthly, quarterly, annual, and ad-hoc human capital reporting requests and ensures the accuracy, comprehensiveness and timeliness of the data provided. Driving continuous improvement of self-serve and visualization capabilities is paramount in order to optimize user experience and adoption. They will also provide subject matter expertise and point of view on how to advance our technology capabilities such as AI, machine learning, large language models, and cloud-based tools.

Is this role right for you? In this role, you will:

Lead the transformation of Global HR’s data, analytics, reporting and visualization capabilities to improve data-driven decision making and accelerate insights at scale to help each line of business optimize human capital.
Drive applied employee research, data mining, analytical/statistical methodology, behavioral science and the development of predictive models to further our understanding of the workforce and enhance employee experience.
Lead advanced analytics to drive actionable insights to propel human capital decision making and build behavioral science capabilities to enhance employee understanding and awareness.
Partner closely with IT to develop data engineering pipelines, advance technology capabilities (i.e., software, infrastructure and data pipelines) to better leverage AI, machine learning and cloud-based tools.
Develop a programmatic approach to increase data literacy and adoption across Global Human Resources in order to enhance advice capabilities and to deliver impactful human capital insights for each line of business.
Manage the design, development and implementation of data strategies, data standards, data procedures, data governance and data security to support Global Human Resources and ensure alignment with the Bank’s Data Governance Framework.
Establish data quality rules, standards and thresholds and ensure appropriate data quality monitoring practices are in place; lead the identification and root-cause analysis of data quality issues and support remediation efforts in a timely manner based on priority.
Develop teams and create a high performing culture that nurtures talent and helps bring to life our values of collaboration, growth, and respect.
Manage direct reports and the broader department to achieve organizational goals in accordance with company policies and practices.
Create an effective work environment by developing a common vision, setting clear objectives, expecting teamwork, recognizing outstanding performance, maintaining open communications and encourage high level of engagement across the team.
Build a high-performance environment and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment and using a coaching mindset and behaviors; communicating vison/values/business strategy; and, managing succession and development planning for the team.
Create an environment in which the team pursues effective and efficient operations of the respective areas in accordance with Scotiabank’s Values and Code of Conduct, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations.

Do you have the skills that will enable you to succeed? We’d love to work with you if you have:

Post-Secondary degree in a quantitative /computer science /data & analytics field. Relevant Master’s Degree is desirable. A minimum of seven or more years of progressive, relevant and practical experience in people analytics and data management; a proven track record of success in analytical reporting and the implementation/management of supporting technology systems.
Expert understanding of data management structure, big data, business requirements, analytics, reporting delivery – incl Enterprise Data Lake, database management & technology reporting tools (PowerBI) and coding languages.
Experienced in leading applied employee research and knowledge of behavioral science and industrial/organizational psychology.
Excellent knowledge of Statistics (SAS, SPSS), Data Mining (MS SQL), Business Intelligence and Office Automation software packages including good knowledge of computer languages.
Strong project management skills with a proven ability to work independently and proactively to drive data management and analytics efforts.
Leadership and communication skills required to manage, prioritize and execute diverse activities and projects concurrently. Also, collaborative leadership skills to drive people development and strong team growth.
Integrity, high attention to detail, thoroughness, and accuracy are critical to ensure quality outputs. Solid organizational interpersonal and communication skills and be able to direct varied activities within tight time frames.
Excellent interpersonal and communication skills are essential in dealing with many senior internal and external parties, as well as preparing reports for Executive Management.

Location(s): Canada : Ontario : Toronto

Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

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More about this job

Responsibilities

Lead the global HR data office and transform analytics, reporting, visualization, and advanced analytics capabilities to improve workforce insights and employee experience. Oversee data strategy, governance, security, quality, technology partnerships, and team development while promoting data literacy and responsible business controls.

Requirements

Requires a post-secondary degree in a quantitative, computer science, data, or analytics field; a relevant master's degree is desirable. Candidates should have at least seven years of progressive experience in people analytics and data management, expertise in analytics and reporting technologies and statistical tools, and strong leadership, project management, communication, and employee research capabilities.

Skills

People Analytics
Data Management
Data Governance
Data Quality
Advanced Analytics
Predictive Modeling
Behavioral Science
Employee Research
Statistical Analysis
Data Mining
Business Intelligence
Data Visualization
Data Literacy
Data Engineering
Project Management
Team Leadership

Visa sponsorship

Not detected in the job text

Keywords

People Analytics
Global HR Data Office
Data Strategy
Data Standards
Data Governance
Data Security
Data Quality
Advanced Analytics
Predictive Models
Behavioral Science
Industrial-Organizational Psychology
Employee Research
Data Mining
Statistical Methodology
Enterprise Data Lake
Database Management
Power BI
SAS
SPSS
Microsoft SQL
Business Intelligence
Data Engineering Pipelines
Artificial Intelligence
Machine Learning
Large Language Models
Cloud-Based Tools
Reporting and Visualization
Data Literacy
Project Management
Data Governance Framework

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