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Senior Manager, Data Science
Senior Manager, Data ScienceTD Bank • Toronto, Ontario, Canada
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Senior Manager, Data Science

Senior Manager, Data Science

TD Bank • Toronto, Ontario, Canada
30+ days ago
Job type
  • Full-time
Job description

Work Location:

Toronto Ontario Canada

Hours:

37.5

Line of Business:

Analytics Insights & Artificial Intelligence

Pay Details:

$136000 - $185500 CAD

The pay details posted reflect a temporary market premium specific to this role that is reassessed annually.

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidates skills and experience job-related knowledge geographic location and other specific business and organizational needs.

As a candidate you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Job Description:

Why Join Us:

  • Work at the forefront of people analytics innovation AI deployment and ethical workforce data us
  • Be part of a high-impact team that supports resilience equity and long-term business performance through insight.
  • Competitive compensation performance-based incentives and opportunities for advancement in a top-tier financial institution.

Department Description:

TDs Analytics Insights and Artificial Intelligence (AI2) team provides consultative support with data & analytics-based business insights and/or solutions to guide decision making and/or strategic planning. AI2 is an exciting team to be a part of as we are transforming how we provide key insights and opportunities for our business partners to better serve our customers.

Job Description:

We are seeking an experienced and technical Senior Manager Data Scientist to join our People Analytics team within AI2. This role will drive advanced analytics modeling and data science initiatives that inform critical workforce decisions. This role blends hands-on technical expertise with strategic consulting cross-functional leadership and deep understanding of human capital data to produce actionable insights that shape talent workforce planning and organizational effectiveness strategies.

You will be responsible for designing scalable analytical solutions leading complex initiatives mentoring a team of data scientists analysts and partnering with senior HR and business leaders to translate data into impact. You will be helping stakeholders turn complex challenges into data-driven solutions powered by predictive analytics AI and machine learning.

You will collaborate closely with senior HR and business leaders to identify key workforce challenges translate them into data-driven initiatives and deliver actionable insights that balance business growth regulatory compliance and employee well-being.

KEY ACCOUNTABILITIES:

  • Design develop deploy and maintain advanced analytics and machine learning models for workforce planning attrition mobility skills inference performance etc.
  • Translate business problems into analytical frameworks and collaborate with cross-functional teams to define success metrics and solution approaches
  • Conduct rigorous model evaluation documentation A/B testing and monitoring to ensure model performance fairness and stability in production
  • Apply time series analysis clustering NLP optimization techniques and scenario modeling to people related datasets
  • Youll work closely with various teams to bring AI capabilities to life and deliver measurable business impact.
  • Build and automate scalable analytical pipelines using Python SQL and modern data frameworks
  • Partner with data engineering to productionalize models and ensure sustainability and monitoring
  • Drive best practices around data quality documentation reproducibility privacy and ethical AI
  • Ensure compliance with data governance security and privacy standards with the strong ability to drive use cases through stakeholders for approval
  • Establish analytical standards code quality practices and methodological rigor across the team
  • Build data science capability within HR and the broader organization
  • Design and deliver analytics and AI insights into key HR programs (e.g. succession planning DEI attrition risk skills forecasting).
  • Build strong relationships with partners to understand key stakeholder business problems develop hypotheses for testing and interpret analytics with confidence
  • Measure impact and drive continuous improvement using workforce KPIs.
  • Enable stakeholder self-service through dashboards and repeatable insight assets.
  • Work with implementation experts to devise business-applicable plans to ensure that sophisticated analytics translate into impact at scale in an organization
  • Stay current with ML research and industry trends to bring innovative approaches into production
  • Take a lead role in scoping of new models and help to drive AI roadmap for HR

Job Requirements:

  • Masters or PhD in Data Science Statistics Math Engineering Computer Science or related field (or equivalent experience)
  • 10 years of experience in data science/advanced analytics with at least 3 years in a leadership role - preferably in financial services.
  • Demonstrated experience leading people analytics or workforce strategy projects with measurable business impact.
  • Advanced proficiency in Python R SQL Tableau/Power BI and cloud data environments (e.g. Workday Databricks) is an asset.
  • Strong understanding of statistical modeling machine learning and experimental methods
  • Excellent communication facilitation influence skills
  • Understanding of regulatory data governance and privacy considerations in a highly regulated industry.
  • Solid understanding of business requirements and vernacular; know the language of business
  • Desire to ask questions and get a deeper understanding of issues; confidence to challenge perceptions and biases of individuals at every level of the organization
  • An in-depth understanding of the specific industry of the company and organizational challenges to effectively identify the value analytics in the business context

Who We Are:

TD is one of the worlds leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day we deliver legendary customer experiences to over 27 million households and businesses in Canada the United States and around the world. More than 95000 TD colleagues bring their skills talent and creativity to the Bank those we serve and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers communities and colleagues.

TD is deeply committed to being a leader in customer experience that is why we believe that all colleagues no matter where they work are customer facing. As we build our business and deliver on our strategy we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether youve got years of banking experience or are just starting your career in financial services we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs were here to support you towards your goals. As an organization we keep growing and so will you.

Our Total Rewards Package
Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial physical and mental well-being goals. Total Rewards at TD includes a base salary variable compensation and several other key plans such as health and well-being benefits savings and retirement programs paid time off banking benefits and discounts career development and reward and recognition programs. Learn more

Additional Information:
Were delighted that youre considering building a career with TD. Through regular development conversations training programs and a competitive benefits plan were committed to providing the support our colleagues need to thrive both at work and at home.

Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations requirements.


Colleague Development
If youre interested in a specific career path or are looking to build certain skills we want to help you succeed. Youll have regular career development and performance conversations with your manager as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. Whether you have a passion for helping customers and want to expand your experience or you want to coach and inspire your colleagues there are many different career paths within our organization at TD and were committed to helping you identify opportunities that support your goals.

Training & Onboarding
We will provide training and onboarding sessions to ensure that youve got everything you need to succeed in your new role.

Interview Process
Well reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.


Accommodation
Your accessibility is important to us. Please let us know if youd like accommodations (including accessible meeting rooms captioning for virtual interviews etc.) to help us remove barriers so that you can participate throughout the interview process.

We look forward to hearing from you!

Language Requirement (Quebec only):

Sans Objet

Required Experience:

Senior Manager


Key Skills
Accounting Software,Access Control System,B2C,Banqueting,Jewellery,Linux Administration
Employment Type : Full-Time
Experience: years
Vacancy: 1
Monthly Salary Salary: 136000 - 185500
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Senior Manager Data Science • Toronto, Ontario, Canada

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