Director, AI Engineering Operations & Data Engineering at Workday

Toronto, Ontario, Canada

Workday Logo
Not SpecifiedCompensation
Expert & Leadership (9+ years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, Enterprise SoftwareIndustries

Requirements

  • Deep expertise in modern data architectures/frameworks
  • Expertise in cloud-native platforms (e.g., AWS, Snowflake, Databricks)
  • Expertise in MLOps/AIOps
  • Experience building and managing high-performing engineering teams
  • Ability to drive complex technical roadmaps
  • Ability to build technical and business relationships across the organization

Responsibilities

  • Define and champion the vision, strategy, and roadmap for Data Engineering, Integrations, and AI Engineering Operations
  • Lead, mentor, and grow a diverse team of data engineers, integration specialists, and AI/MLOps engineers, fostering a culture of innovation, reliability, and ownership
  • Partner with the VP of EDATA and other EDATA Directors (Data Platforms, Data SRE, AI Strategy, etc.) to ensure a cohesive and well-governed enterprise data and AI ecosystem
  • Oversee the design, development, and maintenance of robust, scalable, and high-performance ETL/ELT data pipelines utilizing platforms like Snowflake and Databricks
  • Ensure data quality, integrity, and security standards are strictly enforced within all data pipelines and integrations
  • Manage the strategy and execution of all enterprise data integrations, connecting core business systems (e.g., Sales, Finance, HR) to the central data platforms

Skills

AI Engineering
Data Engineering
Machine Learning
Data Platforms
Data Architecture
Data Science
AI Strategy
Product Management

Workday

Cloud applications for finance and HR management

About Workday

Workday provides enterprise cloud applications that focus on finance and human resources for medium to large-sized businesses across various industries. Its main products include Workday Human Capital Management, Workday Financial Management, Workday Adaptive Planning, and Workday Student, which help organizations manage their workforce and streamline financial operations. The software operates on a subscription model, allowing clients to pay a recurring fee based on the number of users and specific modules needed. This model supports continuous updates and improvements to the software. Workday stands out from competitors due to its strong emphasis on customer satisfaction and employee engagement, offering tools like Workday Peakon Employee Voice to enhance workforce experience. The company's goal is to provide essential tools that improve operational efficiency and support businesses in managing their human resources and financial operations effectively.

Pleasanton, CaliforniaHeadquarters
2005Year Founded
$209.4MTotal Funding
IPOCompany Stage
Consulting, Enterprise SoftwareIndustries
10,001+Employees

Benefits

Flexible Work Hours
Hybrid Work Options
Performance Bonus
Stock Options
Professional Development Budget
Conference Attendance Budget

Risks

Emerging HR tech startups like Buk could challenge Workday's market share.
Dependency on third-party platforms like Udemy may complicate service delivery.
Strategic shifts under new leadership could disrupt existing customer relationships.

Differentiation

Workday is a leader in cloud-based HCM and ERP solutions for large enterprises.
The company offers a subscription model ensuring steady revenue and continuous software updates.
Workday's focus on employee engagement tools like Peakon sets it apart in the market.

Upsides

Increased demand for cloud HCM solutions boosts Workday's market potential.
AI-driven analytics enhance Workday's financial management offerings with predictive insights.
Workday's partner ecosystem expansion, like with MetLife, opens new customer opportunities.

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