Workday

About the TeamThe Enterprise Data Services (EDS) organization is a dynamic and evolving team that is spearheading Workday’s growth through trusted data excellence, innovation, and architectural thought leadership.. They can encompass both quantitative and methodical skills or more creative and innovative skills like establishing cause -and-effect in a high-tech business environmentEstablish and operate a Data Science and AI Community of Practice (CoP) for the purposes of sharing standard methodologies and frameworks, discussing emerging trends and technologies, and cross-team sharing of ideas and initiatives.. along with proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch) and experience or familiarity with data science platforms such as Databricks, H2O, AWS Sagemaker.. Deep understanding of statistical analysis, data mining, and predictive modeling techniques.. Experience in Hi-Tech Saas industry is preferred Workday Pay Transparency StatementThe annualized base salary ranges for the primary location and any additional locations are listed below.

data management

<p>Your work days are brighter here.At Workday, it all began with a conversation over breakfast. When our founders met at a sunny California diner, they came up with an idea to revolutionize the enterprise software market. And when we began to rise, one thing that really set us apart was our culture. A culture which was driven by our value of putting our people first. And ever since, the happiness, development, and contribution of every Workmate is central to who we are. Our Workmates believe a healthy employee-centric, collaborative culture is the essential mix of ingredients for success in business. That’s why we look after our people, communities and the planet while still being profitable. Feel encouraged to shine, however that manifests: you don’t need to hide who you are. You can feel the energy and the passion, it's what makes us unique. Inspired to make a brighter work day for all and transform with us to the next stage of our growth journey? Bring your brightest version of you and have a brighter work day here.About the TeamAbout WorkdayAt Workday, it all began with a conversation over breakfast. When our founders met at a sunny California diner, they came up with an idea to revolutionize the enterprise software market. And when we began to rise, one thing that really set us apart was our culture. A culture which was driven by our value of putting our people first. And ever since, the happiness, development, and contribution of every Workmate is central to who we are. Our Workmates believe a healthy employee-centric, collaborative culture is the essential mix of ingredients for success in business. That’s why we look after our people, communities and the planet while still being profitable. Feel encouraged to shine, however that manifests: you don’t need to hide who you are. You can feel the energy and the passion, it's what makes us unique. Inspired to make a brighter work day for all and transform with us to the next stage of our growth journey? Bring your brightest version of you and have a brighter work day here.About the TeamThe Enterprise Data Services (EDS) 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 science, engineering, and analytics, 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 EDS enable the transformation of complex data sets into actionable insights that fuel strategic decisions and position Workday at the forefront of the technology industry.EDS is a global team distributed across the U.S. and India.About the RoleAbout the RoleJoin a pioneering organization at the forefront of technological advancement, dedicated to demonstrating data-driven insights to transform industries and drive innovation. Workday is seeking a dynamic and experienced Senior Manager of Data Science and AI Innovation to lead our data-driven initiatives and spearhead the development of AI-powered solutions. The ideal candidate will combine strong leadership skills with extensive expertise in data science, machine learning, and AI technologies.ResponsibilitiesThe incumbent will be responsible for (but not limited to) the following:Strategic Leadership: Lead the development and execution of the data science and AI strategy aligned with the company's goals. Drive innovation by finding opportunities to demonstrate data and AI across various groups and functions.Team Management: Manage and mentor a team of data scientists, machine learning engineers, and AI specialists. Foster a culture of innovation, collaboration, and continuous learning within the team.Analytical Skills : Expert in detecting  business patterns, brainstorming, interpreting data, integrating information, and making decisions based on multiple factors. They can encompass both quantitative and methodical skills or more creative and innovative skills like establishing cause -and-effect in a high-tech business environmentEstablish and operate a Data Science and AI Community of Practice (CoP) for the purposes of sharing standard methodologies and frameworks, discussing emerging trends and technologies, and cross-team sharing of ideas and initiatives.AI Solution Development: Oversee the end-to-end development of AI and machine learning solutions, from ideation to deployment. Collaborate with multi-functional teams to implement these solutions effectively and efficiently.Research and Evaluation: Stay abreast of the latest advancements in AI, machine learning, and data science. Conduct research to evaluate emerging technologies and their potential applications within the company. Manage the team with both divergent and convergent thinking styles using formal research team management paradigmsProgram management: Experience with managing parallel streams of work and a keen ability to prioritize engineering decisions across resources.Collaboration and Communication: Collaborate with partners across departments to understand their needs and provide data-driven insights and solutions. Present findings and recommendations to senior management and key partners.About YouBusiness QualificationsBS/BA or 10+ years of equivalent work experience in Computer Science, Information Systems, or a related field7+ years of relevant domain experience 5+ years in a leadership role within data science, with a track record of delivering impactful solutions in a business setting.Other QualificationsStrong leadership and managerial skills, with experience in managing and building impactful teams.Deep understanding of Generative AI, NLP, NLU and NLG techniques.  Developed and implemented solutions using custom built or general purpose LLM’sIn-depth knowledge in causality inferencing using libraries like Dowhy, Causal ML, CausalNex, Causal Impact etc.Expertise in programming languages such as Python, R, etc. along with proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch) and experience or familiarity with data science platforms such as Databricks, H2O, AWS Sagemaker.Deep understanding of statistical analysis, data mining, and predictive modeling techniques.Superb communication skills with the ability to translate complex technical concepts into business insights.Experience in Hi-Tech Saas industry is preferred Workday Pay Transparency StatementThe 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.TorontoPrimary CAN Base Pay Range: $149,700 - $224,600 CADAdditional US Location(s) Base Pay Range: $173,300 USD - $292,300 USDOur Approach to Flexible WorkWith 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.Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!SummaryLocation: Canada, ON, Toronto; USA, CA, PleasantonType: Full Time</p>

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