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About the Role

The Head of Global HR Analytics and Data Office leads a team responsible for global data, analytics, advanced analytics, reporting, visualization, and AI. This role serves as the primary contact for Global Human Resources data and champions the advancement of analytics capabilities, technologies, human capital insights, and data literacy.

Responsibilities

Lead the transformation of Global HR’s data, analytics, reporting and visualization capabilities to improve data-driven decision making and accelerate insights at scale.
Drive applied employee research, data mining, analytical/statistical methodology, behavioral science and the development of predictive models.
Lead advanced analytics to drive actionable insights and build behavioral science capabilities.
Partner closely with IT to develop data engineering pipelines and advance technology capabilities (AI, machine learning, cloud-based tools).
Develop a programmatic approach to increase data literacy and adoption across Global Human Resources.
Manage the design, development and implementation of data strategies, standards, procedures, governance and security.
Establish data quality rules, standards and thresholds, and lead data quality issue analysis and remediation.
Develop teams and create a high performing culture that nurtures talent and embodies company values.
Manage direct reports and the broader department to achieve organizational goals.
Create an effective work environment by developing a common vision, setting clear objectives, and encouraging engagement.
Build a high-performance environment and implements a people strategy that attracts, retains, develops and motivates their team.
Create an environment in which the team pursues effective and efficient operations and ensures adequate business controls.

Requirements

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.
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.
Leadership and communication skills required to manage, prioritize and execute diverse activities and projects concurrently.
Collaborative leadership skills to drive people development and strong team growth.
Integrity, high attention to detail, thoroughness, and accuracy are critical.
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 senior internal and external parties, as well as preparing reports for Executive Management.

Skills

People analytics
Data management
Analytical reporting
Technology systems implementation and management
Data management structure
Big data
Business requirements analysis
Analytics
Reporting delivery
Enterprise Data Lake
Database management
PowerBI
Coding languages
Applied employee research
Behavioral science
Industrial/organizational psychology
Statistics (SAS, SPSS)
Data Mining (MS SQL)
Business Intelligence
Office Automation software packages
Computer languages
Project management
Leadership
Communication
Collaboration
Attention to detail
Organizational skills
Interpersonal skills

Location

Toronto, Ontario, Canada

Work Type

Full-time

Experience Level

Seven or more years of progressive, relevant and practical experience in people analytics and data management

Education Level

Post-Secondary degree in a quantitative /computer science /data & analytics field
Relevant Master’s Degree is desirable

About the Company

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.

Equal Opportunity

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.