Jobs
Your work days are brighter here.
We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too.
About the Team
The Enterprise Data and AI Technologies & Architecture (EDATA) organization is a dynamic and evolving team that is spearheading Workday’s growth through trusted data excellence, innovation, and architectural thought leadership. Equipped with an array of skills in data & AI platforms and architecture, data science, engineering, machine learning and AI strategy & product management, this team orchestrates the flow of data across our growing company while ensuring data accessibility, accuracy, and security. With a relentless focus on innovation and efficiency, Workmates in EDATA enable the transformation of complex data sets into actionable insights that fuel strategic decisions and position Workday at the forefront of the technology industry.
About the Role
Workday is seeking a Principal Data and Analytics Security Architect who will drive the development and implementation of a comprehensive security strategy for Workday's corporate data and analytics ecosystem. This role will be pivotal in safeguarding sensitive data across our data and AI platforms, as well as our broader analytics tools and integrations. You will work closely with cross-functional teams, including Data & AI Platforms, Data Engineering, Data Science & Innovation, Enterprise Architecture, Enterprise Security, Enterprise Data & Analytics (EDA), etc. to ensure robust security practices are embedded throughout the data lifecycle.
Job Responsibilities:
Security Strategy and Architecture:
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Develop and maintain a comprehensive data and analytics security architecture aligned with industry best practices and Workday's security policies.
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Define security standards, policies, and procedures for data access, encryption, and protection across all data platforms and tools.
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Lead the design and implementation of security controls for our data and AI platforms, ensuring data confidentiality, integrity, and availability.
Risk Management and Compliance:
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Conduct and/or participate in security assessments and vulnerability analyses to identify and mitigate potential risks.
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Ensure compliance with relevant data privacy regulations (e.g., GDPR, CCPA) and industry standards (e.g., SOC 2, ISO 27001).
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Develop and maintain a data security incident response plan.
Collaboration and Communication:
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Collaborate with other teams within Workday to integrate security into data and analytics workflows.
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Provide security guidance and expertise to stakeholders across the organization.
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Communicate security risks and mitigation strategies to senior management.
Technology Evaluation and Implementation:
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Evaluate and recommend security technologies and solutions to enhance data protection.
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Partner with Enterprise Security on security review processes for technologies to be implemented
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Lead the implementation and integration of security tools and platforms.
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Work closely with the other EDS teams to secure implemented products.
About You
Basic Qualifications:
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10+ years of experience in data and analytics security architecture.
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10+ years of experience with data security principles, practices, and technologies.
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Extensive experience with AWS, cloud-based data platforms (e.g. Snowflake, Databricks) and analytics tools (e.g. Tableau, Sigma).
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Strong knowledge of security frameworks and compliance standards (e.g., NIST, ISO 27001, GDPR, CCPA).
Other Qualifications:
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Ability to establish data and analytics security best practices
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Experience working collaboratively with third-party vendors as well as data scientists, ML/data/platform engineers, software engineers, product development, and cloud operations teams.
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Excellent communication, interpersonal, and leadership skills with the ability to influence and mentor others.
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Problem-solving and troubleshooting in technical environments.
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Ability to work in a fast-paced, cross-functional team environment.
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Relevant security certifications (e.g., CISSP, CISM, CCSP).
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Experience in a SaaS environment.
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Experience with data loss prevention tools.
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Bachelor's or Master's degree in Computer Science, Information Security, or a related field.
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Open to 50% reporting to our Toronto office
Workday Pay Transparency Statement
The annualized base salary ranges for the primary location and any additional locations are listed below. Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate’s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday’s comprehensive benefits, please click here.
Primary Location: CAN.ON.Toronto
Primary CAN Base Pay Range: $158,300 - $237,500 CAD
Additional CAN Location(s) Base Pay Range: $158,300 - $237,500 CAD
Our Approach to Flexible Work:
With Flex Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter.
Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.
Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.
At Workday, we are committed to providing an accessible and inclusive hiring experience where all candidates can fully demonstrate their skills. If you require assistance or an accommodation at any point, please email accommodations@workday.com.
Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!
At Workday, we value our candidates’ privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers.
Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not.
In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.
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About Workday

Workday
PublicWorkday, Inc., is an American on‑demand (cloud-based) financial management, human capital management, and student information system software vendor.
10,001+
Employees
Pleasanton
Headquarters
Reviews
2.6
15 reviews
Work Life Balance
3.0
Compensation
4.0
Culture
2.5
Career
2.8
Management
2.2
25%
Recommend to a Friend
Pros
Competitive compensation packages
Principal/senior level opportunities available
AI/technology focus areas
Cons
Major layoffs (8.5% workforce reduction)
Age discrimination lawsuit regarding AI hiring tools
Proprietary Xpresso language is difficult and non-transferable
Salary Ranges
2 data points
Junior/L3
Senior/L5
Staff/L6
Junior/L3 · Data Scientist P2
0 reports
$130,000
total / year
Base
-
Stock
-
Bonus
-
$110,500
$149,500
Interview Experience
9 interviews
Difficulty
3.9
/ 5
Duration
14-28 weeks
Experience
Positive 11%
Neutral 11%
Negative 78%
Interview Process
1
Application Review
2
Recruiter Screen
3
Hiring Manager Interview
4
Director Interview
5
Team Interviews
6
Offer Decision
Common Questions
Behavioral/STAR
Past Experience
Culture Fit
Technical Knowledge
Management/Leadership
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