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    Senior Manager, Data Science Innovation - Toronto, Canada - Canada Workday ULC

    Canada Workday ULC
    Canada Workday ULC Toronto, Canada

    6 days ago

    Default job background
    Full time
    Description

    About the Role

    Join 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.

    Responsibilities

    The 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 andinnovative skills like establishing cause -and-effect in a high-tech business environment
  • Establish 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 paradigms
  • Program 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 You

    Business Qualifications

  • BS/BA or 10+ years of equivalent work experience in Computer Science, Information Systems, or a related field
  • 7+ 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 Qualifications

  • Strong 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's
  • In-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 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.

    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 USD
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