{"id":1740978,"url":"https://alion.io/job/td-bank-group-senior-manager-data-science","title":"Senior Manager, Data Science","company":{"id":3167,"name":"TD Bank Group","domain":"td.com","url":"https://alion.io/company/td-bank","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":644,"ghost_share":0.005,"stale_share":0.137,"repost_share":0.036,"time_to_fill_p50_days":13,"computed_at":"2026-10-27T05:46:45Z"}},"role":"Management","role_family":"Management","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Toronto, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":59000,"max_usd":135000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":294},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"AI Agents","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"GCP","optional":true},{"name":"LLM","optional":true},{"name":"NumPy","optional":true},{"name":"Pandas","optional":true},{"name":"Python","optional":true},{"name":"PyTorch","optional":true},{"name":"RAG","optional":true},{"name":"Scikit-learn","optional":true},{"name":"TensorFlow","optional":true},{"name":"XGBoost","optional":true}],"status":"live","first_seen_at":"2026-10-02T00:00:00Z","employer_posted_date":"2026-10-02","last_verified_at":"2026-10-27T11:36:39Z","board_verified":true,"closed_at":null,"days_open":25,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":25},"description":"Work Location:\nToronto, Ontario, CanadaHours:\n37.5Line of Business:\nAnalytics, Insights, & Artificial IntelligencePay Details:\n$115,600 - $163,200 CADTD 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 candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.\nAs 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.\nJob Description:\nThe Senior Manager, Data Science leads a specialized team of data professionals varying in size and complexity that are responsible for aiding to drive changes and improvement in business practices through data science. This role manages the overall data scientist team or function for a key business which may include Modelers and/or Data Scientist roles. This role may also oversee the development of data models, data mining and analytic solutions.\nDay to Day:\nThe Senior Manager, Data Science will deliver measurable value through predictive, prescriptive, and generative AI capabilities. The successful candidate will combine deep technical expertise with strong leadership skills to build high-performing teams and establish a culture of innovation, experimentation, and responsible AI.\nLead and develop a team of Data Scientists, providing coaching, mentorship, technical guidance, and career development.\nPartner with business leaders to identify and prioritize high-value machine learning, artificial intelligence, and advanced analytics opportunities.\nTranslate complex business problems into analytical frameworks, models, and actionable insights.\nOversee the end-to-end data science lifecycle, including problem formulation, feature engineering, model development, validation, deployment, monitoring, and ongoing optimization.\nGuide the development of predictive, prescriptive, and generative AI solutions that improve business performance, efficiency, customer experience, and risk management outcomes.\nCollaborate with data engineering, technology, and platform teams to ensure scalable and production-ready solutions.\nEstablish model governance, validation, explainability, documentation, and monitoring practices in accordance with enterprise risk management standards.\nEvaluate emerging AI, machine learning, and data science techniques and recommend practical applications across the organization.\nPresent analytical findings, recommendations, and business cases to senior executives and stakeholders in a clear and impactful manner.\nDrive experimentation and innovation through proof-of-concepts, pilots, and test-and-learn initiatives.\nEnsure responsible and ethical use of AI through adherence to regulatory requirements, governance frameworks, and internal policies.\nManage portfolio planning, resource allocation, and delivery execution across multiple concurrent data science initiatives.\nDepth & Scope:\nProvides people management leadership by hiring the best talent, setting goals, developing staff, managing employee performance and compensation decisions, promoting teamwork and handling any/all disciplinary actions, as required\nOversees and leads a large and/or highly complex and diverse analytical function for an area of significant risk, complexity or scope\nStrategic partner to leadership team on the management of the portfolio and financials, with deep industry, external/internal, enterprise knowledge, recognizing and anticipating emerging trends and identifying operational efficiencies and opportunities with other business management/enterprise areas\nFacilitates key strategic discussions and provides thought leadership to executive audience (output may include strategic roadmap and/or deliverables/frameworks/short to long term goals etc.)\nSets operational team direction and collaborates with others to execute on common goals\nFocuses on longer range planning for functional area (e.g. 12 months or greater)\nEducation & Experience:\nUndergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science) Graduate's degree preferred with either progressive project work experience, or;\n7+ year of relevant experience; higher degree education and research tenure can be counted\nCustomer Accountabilities:\nLeads team of Data Scientists and provides day-to-day direction as needed\nActs as People Manager and is responsible for ongoing coaching and development, setting objectives, assessing performance\nWorks closely with business owners to identify opportunities and serves as an ambassador for data science\nLeads and oversees the design and delivery of enterprise analytic solutions for customers\nWorks in a highly interactive, team-oriented environment with Big Data developers, and analytical experts\nCollaborates with business partners to shape and prioritize ad hoc analysis\nShareholder Accountabilities:\nProvides analytical thought leadership and stays current on developments in data mining and the application of data science\nManages workload of data science team, assigning data request to staff based on skills and development needs\nSupports execution with excellence on key initiatives/programs\nDesigns effective test and learns for various programs or scenarios\nDevelops business specific plans; ensures work and resources are aligned to support objectives\nIdentifies opportunities for business growth within a specific business or function by identifying potential use cases and value drivers\nProactively supports the identification of issues, trends and opportunities, and brings forward recommendations based on judgment and facts\nLeads team to prepare framework to succinctly take complex data and translate it into clear and concise recommendations\nEnsures deep understanding and contributes to the achievement of the business strategy, goals, and objectives\nEnsures team adheres to enterprise frameworks and methodologies related to overall business management activities\nLeads relationships with corporate and/or control functions to ensure alignment with enterprise and/or regulatory requirements\nSupports team in staying knowledgeable on emerging issues, trends and evolving regulatory requirements and assesses potential impacts to the Bank\nAssesses/identifies key issues and escalates to appropriate levels and relevant stakeholders and business management where required\nIdentifies, mitigates, and reports on risk issues per enterprise policy/guidance and ensures appropriate escalation processes are followed\nEnsures business operations are following applicable internal and external requirements (e.g. financial controls, segregation of duties, transaction approvals and physical control of assets)\nLeads relationships with business lines / corporate and/or control functions to ensure alignment with enterprise and/or regulatory requirements\nLeads or contributes to cross-functional/enterprise initiatives as an organizational or subject matter expert helping to identify risk/provide guidance for complex situations\nProtects the interests of the organization - identifies and manages risks, and escalates non-standard, high-risk transactions/activities as necessary\nManages oversight process, risk-based identification and monitoring of related risks and regulatory compliance across the supported functions, while ensuring key controls and processes are effectively managed\nOversees or leads the facilitation and/or implementation of action/remediation plans to address performance/risk/governance issues\nKeeps abreast of emerging issues, trends, and evolving regulatory requirements and assesses potential impacts\nMaintains a culture of risk management and control, supported by effective processes in alignment with risk appetite\nEmployee/Team Accountabilities:\nCultivates and models the Colleague Promise to support colleague growth, and a culture of care; makes an impact at work and in our communities by leading with authenticity and supporting well-being to represent TD's brand\nConnects the alignment of colleague's contributions with the TD Shared Commitments \nBuilds and retains an engaged and diverse team that embraces diversity of thought, creativity and curiosity; where every colleague and customer are valued, respected, and listened to; committed to a common goal and collaborates to move with speed and get things done\nDemonstrates inclusive leadership by taking meaningful action with intention to support colleagues and customers across all dimensions of diversity, including those from underrepresented communities, being actively anti-racist, attracting and retaining diverse slate of candidates, nurturing mutual respect, inclusivity of thought and collaboration to drive successful results\nSustains, identifies strong talent, recruits and develops a diverse talent pipeline of qualified workforce to innovate and maximize individual strengths to lead to a better business outcome\nEnables colleague growth by encouraging colleague development to achieve career and business objectives, ensuring timely feedback, motivating appreciation and recognition to all colleagues\nEnables a continuous learning culture by proactively seeking, listening to and actioning feedback from peers and from colleague listening opportunities to continuously improve the colleague experience and grow your personal leadership\nFosters an environment that promotes sharing of knowledge, information, skills, and subject matter expertise among the team; ensures timely management and escalation of issues and creates opportunities to collaborate with other functions and team\nLeads team through change and creates an environment where teams feel psychologically safe to challenge current practices by modeling resiliency and flexibility, communicating a compelling vision with clarity and empowering colleagues to drive innovation\nContributes to the development of business segment and/or enterprise functional strategic priorities within their operational area or field of specialty that drive results\nDevelops annual and/or long-term plans for own area that are aligned with enterprise-wide priorities, reinforces a focus on results that align to One TD\nFosters a high-performance culture by setting team targets and objectives, promotes and facilitates on-going feedback/coaching and conducting Quarterly Check-Ins for all colleagues to drive accountability and business results\nManages employees in compliance with all human resources policies, procedures and guidelines of conduct\nPreferred Qualifications:\n\"Big Tech\" experience strongly preferred\nMaster's degree in data science, PhD in data science, Computer Science, Machine Learning, Statistics, Applied Mathematics, Physics, Engineering, or a related quantitative field.\n3+ years deep expertise in machine learning algorithms, statistical modeling, predictive analytics, and experimentation methodologies.\n7+ years of experience applying advanced analytics, machine learning, artificial intelligence, or statistical modeling techniques in complex business environments.\nAdvanced proficiency in Python and common data science libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, XGBoost, or similar frameworks.\nExperience developing and deploying Generative AI, Large Language Model (LLM), Retrieval-Augmented Generation (RAG), or Agentic AI solutions.\nExperience operationalizing machine learning models within enterprise environments using MLOps practices and cloud platforms.\nStrong understanding of model governance, explainability, fairness, bias mitigation, and responsible AI practices.\nExperience leading cross-fu...","description_format":"text","description_chars":15771,"description_truncated":true,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Growth opportunities","Mentoring programs"],"hiring_locations":[{"name":"Canada","iso":"CA","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Commercial & Retail Banks","Investment Banking & M&A Advisory","Online Brokerage & Trading Platforms"],"lifecycle":[{"event":"open","at":"2026-10-03T03:13:42Z"}],"visa":[],"liveness":{"score":27,"band":"fade","label":"Fading","p_open":0.9,"p_active":0.672,"p_room":0.45,"age_days":25,"expected_fill_days":13,"reasons":["conf:60","velocity","win:tail","comp:brand"],"computed_at":"2026-10-27T05:46:45Z"},"pay":null,"html_url":"https://alion.io/job/td-bank-group-senior-manager-data-science","json_url":"https://alion.io/job/td-bank-group-senior-manager-data-science.json","meta":{"generated_at":"2026-10-27T11:46:38Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who 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