Senior Manager of Machine Learning and Data Engineering, Workday
More information about location
Enterprise management cloud platform
Open for applications
Enterprise management cloud platform
1001+ employees
Open for applications
More information about location
1001+ employees
Company mission
To provide an all-in-one management cloud solution for the rapidly changing business requirements of the modern world.
Role
Who you are
- Are you passionate about pioneering Machine Learning (ML) and its potential to revolutionize data products? Do you thrive in a fast-paced, collaborative environment? If so, Workday's ML team wants you!
- If you’re sharp, collaborative, resourceful, and can communicate complex ideas with ease, then we’d like to talk to you!
- 7+ Years of Experience: Consistent track record in software or data engineering, with 5+ years in a leadership role
- Technical Expertise: Hands-on experience with large-scale data platforms (Kafka, Flink, AWS (and other clouds), Spark, etc.)
- Data Security Champion: Deep understanding of data security, compliance, and regulatory requirements
- Leadership and Vision: Ability to inspire and guide teams, driving technical roadmaps and delivering business impact
Desirable
- ML Enthusiast: Experience in a machine learning or AI-driven organization
- Distributed Systems Specialist: Expertise in leading streaming data pipelines at scale
- Operations: Strong understanding of ML Ops / DevOps / CloudOps
What the job involves
- At Workday, the ML team builds ML services that power our data products across HR, Finance, Planning, Recruiting, Learning, Search, and more.
- We are looking for a leader with the ability and experience to help succeed in a multi-functional and dynamic environment.
- You'll lead a team of software engineers and collaborate with product and engineering teams.
- As a leader you'll establish relationships and partner with product and operational teams.
- You will be expected to navigate between complex technical topics and strategic problems to deliver business impact.
- Your Mission: Lead our Data Platform Team, driving innovation in data ingestion and management within our secure machine learning development environments.
- You'll oversee large-scale data ingestion pipelines, bringing to bear technologies like Kafka, Flink, Spark, and AWS. Your expertise will ensure seamless data flow, security, and compliance
- Lead the Charge: Guide your team in taking on complex technical challenges, delivering high-quality solutions that power our ML-driven products
- Build and Optimize: Design and run robust data ingestion pipelines, ensuring data integrity and security at scale
- Collaborate: Partner with product teams, data scientists, and engineers to drive innovation and deliver exceptional results
- Mentor and Encourage: Foster a culture of technical excellence, empowering your team to reach new heights
Our take
Workday is a cloud-based software vendor that provides management of workforces and finances. The company uses a single database for workforce management and financial management to offer integration and optimize business intelligence across companies. It has added to the packages and tools it offers over the years, providing analytic options that allow companies to combine third-party data with information collected by Workday.
Workday has acquired and paired up with many other companies to keep expanding its offering. In 2021, it purchased the employee feedback platform Peakon in response to the growing need for managers to be able to survey workers and collect satisfaction data without face-to-face meetings. The company has also bought and developed many financial tools and HR management tools.
The company’s goal is to provide end-to-end back office services and while there are other providers, such as UKG Pro and Ceridian HCM, Workday’s broad offering helps them to stand out. Though it faced a tough global market in 2023 and has shed some of its headcount, Workday has seen a 6.5% gain in value in the first quarter of 2024. It is now focusing on growth and developing the AI capabilities of its platform. .
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Many candidates hear
back within 2 weeks
16% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Oct 2011
$85m
SERIES F
Apr 2009
$75m
SERIES E
Total funding: $215.3m
Company benefits
- Company equity
- Vision and dental insurance
- Work from home opportunities
- Health insurance
- Virtual primary care
- Flexible time-off policy
- Global mental health resources
- Global dedicated on-site clinical counselors
- Global well-being days
- $25k fertility/family planning benefits
- North Star financial wellness
- Retirement funds and matching
Company values
- Employees - Most fundamentally, people are the core of our business. Without them, we would not have a business. We hire the best and expect great accomplishments
- Customer service - Every investment and decision we make has our customers in mind, and we pull out all stops to make the satisfaction of our customers paramount
- Innovation - We aim for innovation not only in our development organization but also in the way we approach all aspects of our business
- Integrity - We say what we mean, and mean what we say. We stick to our commitments, treat everyone equitably, and communicate openly and honestly
- Fun - We also feel it’s important to have a sense of humor. We like to laugh—it makes our work that much more enjoyable. We also invest in community and company events that help our employees and their families feel a connection to Workday beyond business as usual
- Profitability - Long-term economic success is what helps us provide employees and customers with the best productivity tools, solutions, and services. While important, profitability is not why we exist. Simply put, at Workday we exist to make and provide great products and services
Company HQ
Pleasanton, CA
Articles
Leadership
Aneel Bhusri
(CEO)Worked for Morgan Stanley for 3 years and took a Stanford MBA, before spending almost 6 years at Oracle as SVP. Co-founded Workday in 2005 while working as a Greylock Advisory Partner.
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