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Senior Manager Data Analytics Jobs in Whitby, ON

The Manager, Data and Analytics, Retail Credit Risk, GRM will be responsible for monitoring and ... The incumbent will deliver ongoing portfolio reporting and monitoring to senior management, as well ...

Senior Business Data Analyst Position Summary Reporting to the Director or Senior Manager, Data Governance, the Senior Business Data Analyst ensures business applications provide complete, accurate ...

Reporting to the Senior Manager, Data Lead, this role is responsible for executing against the data ... Experienced in data product management, data analysis, data governance and / or data engineering ...

Manager, Risk Data Analytics

Toronto, ON ยท On-site

CA$82K - CA$154K/yr

Data Analytics & Reporting The Manager, Data Analytics is responsible for leading the development ... Communicate complex analytical findings clearly to senior stakeholders through reporting and ...

Senior Manager, Data Engineering

Toronto, ON ยท On-site +1

CA$142K - CA$177K/yr

Your Moneris Career - The Opportunity As the Senior Manager, Data Engineering, you will lead the ... analytics, machine learning, and business intelligence initiatives. Working closely with ...

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Senior Manager Data Analytics information

What does a senior manager data analytics do?

A Senior Manager Data Analytics leads teams that analyze large sets of data to help organizations make informed business decisions. They develop analytics strategies, oversee data projects, and ensure the quality and integrity of data-driven insights. This role often involves collaborating with other departments, mentoring analysts, and presenting key findings to senior leadership. Senior Managers in this field need strong technical skills, leadership abilities, and business acumen to drive impactful results.

What are the key skills and qualifications needed to thrive as a senior manager data analytics?

To thrive as a Senior Manager Data Analytics, you need advanced expertise in data analysis, statistical modeling, and business intelligence, typically supported by a degree in a quantitative field and several years of analytics experience. Proficiency with analytics tools such as SQL, Python, R, and platforms like Tableau or Power BI, as well as experience with data warehousing systems, is essential. Strong leadership, strategic thinking, and communication skills enable you to guide teams and translate complex findings into actionable business insights. These competencies are crucial for driving data-informed decision-making and maximizing organizational value from analytics initiatives.

How does a senior manager data analytics typically collaborate with cross-functional teams within an organization?

Senior Managers of Data Analytics frequently work alongside cross-functional teams such as IT, product development, marketing, and finance to ensure that data-driven insights align with business objectives. They are responsible for translating complex analytical findings into actionable recommendations and communicating these insights clearly to both technical and non-technical stakeholders. Regular collaboration often involves leading meetings, setting project priorities, and ensuring data initiatives are integrated smoothly with ongoing business strategies. This collaborative environment fosters innovation and helps drive organizational growth.

What is the difference between Senior Manager Data Analytics vs Data Analyst?

AspectSenior Manager Data AnalyticsData Analyst
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related field; extensive experienceBachelor's degree in related field; entry to mid-level experience
Work EnvironmentLeadership roles, strategic planning, team managementData collection, analysis, reporting
Employer & Industry UsageCorporate, finance, healthcare, tech companiesVarious industries, including marketing, finance, tech
Common Search & ComparisonOften compared for leadership and strategic rolesCompared for technical and analytical skills

The main difference between Senior Manager Data Analytics and Data Analyst lies in their responsibilities and experience level. Senior Managers focus on strategic oversight, team leadership, and decision-making, while Data Analysts handle data collection, analysis, and reporting at a more technical level. Senior Managers typically have more experience and credentials, working in leadership roles within organizations across various industries.

What job categories do people searching Senior Manager Data Analytics jobs in Whitby, ON look for?

The top searched job categories for Senior Manager Data Analytics jobs in Whitby, ON are:

What cities near Whitby, ON are hiring for Senior Manager Data Analytics jobs?

Cities near Whitby, ON with the most Senior Manager Data Analytics job openings:

Infographic showing various Senior Manager Data Analytics job openings in Whitby, ON as of August 2026, with employment types broken down into 86% Full Time, 13% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Sr. Manager, Data & Analytics

Richmond Hill, ON โ€ข On-site

CA$118K - CA$168K/yr

Full-time

PTO

Posted 3 days ago

New


Job description

Hiring Manager: Josh Reif

Talent Acquisition Advisor: Deb James

Job Code Level: IGM2

Refer Your Friends!

AI-First. Future-Driven. Human-Centered.

At OpenText, AI is at the heart of everything we do-powering innovation, transforming work, and empowering digital knowledge workers. We are hiring talent AI can't replace to help us shape the future of information management. Join us.


YOUR IMPACT

As the Senior Manager of Master Data Services, you will take charge of both the operational and strategic aspects of data management. Leading a global team, you'll oversee the management of key master data within OpenText, including Customer, Vendor, Material and financial data. With your expertise and passion for Master Data Management, you'll drive quality improvements and develop and manage policies to ensure the protection of sensitive data and information assets.

Your role will focus on establishing and ensuring adherence to an enterprise-wide data management framework, covering data policies, standards, and practices across both business and functional areas. This will be critical in achieving the necessary consistency, quality, and protection of data assets to align with our business goals.

You'll also serve as the primary point of escalation for issues related to operations, governance, data quality, and protection. Collaborating closely with leadership across business and functional areas, you will work to enhance the quality and value of core data assets while supporting the strategic needs of the organization.

WHAT THE ROLE OFFERS

  • To develop and implement an enterprise master data management roadmap with strategic priorities for information capabilities.
  • To define and roll out a master data framework focusing on data quality improvement and sensitive data protection.
  • To define and manage the roles and responsibilities for the stewardship of the company's key information assets.
  • To function as a liaison between Business, Functional areas, and technology to align data protection requirements with operational planning.
  • To develop and maintain an inventory of enterprise information maps, including authoritative systems and data owners.
  • To facilitate the creation of data quality and protection standards across the organization and lead their adoption.
  • To define performance indicators and metrics, ensuring compliance with data governance policies and roles.

WHAT YOU NEED TO SUCCEED

  • At least 6 years of experience in a major technology organization, with expertise in large-scale data management and oversight.
  • 3+ years of people management experience.
  • Strong knowledge of industry-leading data quality and data protection management practices.
  • Experience with master data practices and understanding of business and technology issues related to managing enterprise information assets and data protection.
  • Proven consulting skills, including change management strategies, communication, culture change, and performance measurement system design.
  • 3+ years of experience working with SAP or similar ERP systems for managing master data.
  • Expertise in risk data architecture, technology solutions, and recognized as a subject matter expert both internally and externally.
  • Bachelor's or Master's degree in Computer Science, MIS, or Information Management.

ONE LAST THING:

This is a high-visibility leadership role where you'll define the future of Master Data Management at OpenText, driving enterprise-wide governance, data quality, and business transformation on a global scale. f you're ready to make a lasting impact, we'd love to hear from you.


OpenText's commitment to diversity and inclusion surpasses legal requirements, evident in our Equal Employment Opportunity Statement of Policy which promotes a respectful and empowering environment for employees of all backgrounds, culture, national origin, race, color, gender, gender identification, sexual orientation, family status, age, veteran status, disability, religion, or other basis protected by applicable laws.

If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please submit a ticket at Ask HR. Our proactive approach fosters collaboration, innovation, and personal growth, enriching OpenText's vibrant workplace.

Compensation: At OpenText, we offer a thoughtfully designed benefits package that supports your physical, emotional, and financial wellbeing. As you move through the hiring process, we're happy to provide more details about our compensation programs, including variable and commission compensation opportunities for eligible roles, vacation entitlement, and paid time off.

Salary Range: $118,000 - $168,000, this depends on the candidate's education, experience, skills, geographical location, and alignment with internal equity and external market, actual salary may vary and be higher or lower than the range posted.

AI Usage Disclosure: As part of our commitment to transparency, we use artificial intelligence (AI) tools to assist in various stages of our recruitment process, including resume screening, candidate matching, interview scheduling, and communications. These tools are designed to improve efficiency, reduce bias, and enhance candidate experience. All decisions regarding hiring are made by qualified human professionals, and we continuously monitor our AI systems to ensure fairness and compliance with applicable regulations.

Employment Type: OTHER