Director – AI/ML

TD is committed to providing fair and equitable compensation opportunities to all colleagues. The included salary range for this role takes into account multiple factors that are considered in making compensation decisions. The base pay actually offered may vary based upon candidate’s skills and experience, job-related knowledge, licensure and certifications, geographic location, and other specific business and organizational needs. As TD puts career development at the forefront of our colleague experience, it is not typical for an individual to be hired at or near the top of the range for their role.

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:

Preferred Qualifications:

Director – AI/ML:

We are looking for a Director, AI/ML to join our team at TD Securities. The Director AI/ML leads development, execution and support of AI and ML initiatives implemented by AI/ML analytics Leads, while also managing and leading the team. Responsible for end-to-end solution design, management of technology issue escalation and resolution process, team dynamics, as well as stakeholder management of innovative technology solutions. Oversees AI/ML Leads to effectively communicate business needs and decisions as well as driving business results and ensuring alignment with the organization’s Target Operating Model.

Customer Accountabilities:

• Lead team of ML Modelling professionals and provide day to day direction as needed
• Provide deep and highly specialized subject matter expertise to other modelers and /or internal partners as needed in the development of data analytical models
• May also be accountable to lead team in developing, delivering and presenting business insights derived from the operation and development of ML analytics projects.
• Act as People Manager and is responsible for ongoing coaching and development, setting objectives, assessing performance of junior ML analytics engineers
• Work closely with business owners to identify opportunities where ML/AI tools can provide a business advantage.
• Lead and oversee the design and delivery of enterprise ML solutions for customers
• Work in a highly interactive, team-oriented environment with technology delivery leads of other teams to build up and run ML models.

Shareholder Accountabilities:

• Provide analytical thought leadership and stay current on developments in applied AI/ML and other technology innovations relevant to Finance
• May oversee build, deployment and operation of complex ML models that learn from data
• Manage AI/ML model standards consistently across projects and initiatives
• Work with other technology teams to agree on the delivery mechanism, usage, monitoring and adoption of ML analytics.
• Develop best practices for creation, versioning, operation monitoring of ML models.
• Recommend opportunities for reuse or extend existing ML models in new business contexts.
• Lead initiatives to create and protect intellectual property, including developing and filing patents related to AI and ML innovations, thereby enhancing firm’s competitive edge.
• Develop and implement strategies to enhance AI and ML adoption across the organization, leading to operational efficiencies, time savings and new revenue streams, aligning with company’s objectives.

Employee/Team:

• Responsible for management of the day-to-day activities of the ML delivery team(s) providing both leadership and guidance
• Grow team expertise to align with enterprise demand and the Bank’s direction; assess team skills and capabilities and continually look for ways to provide and enhance the value delivered
• Co-ordinate necessary resources to ensure completion by deadlines
• Provide coaching, development, succession, recruitment, resource management and overall team leadership for team members and provide regular input into team members’ assessment of performance and development plans
• Prioritize and manage own workload in order to deliver quality results and meet timelines
• Support a positive work environment that promotes service to the business, quality, innovation and teamwork and ensure timely communication of issues/ points of interest
• Identify and recommend opportunities to enhance productivity, effectiveness and operational efficiency
• Establish effective relationships across multiple business and technology partners, program and project managers.
• Participate in knowledge transfer within the team and other business units, including participation in cross-functional groups or committees (e.g., Data Councils)
• Spearhead initiatives to educate and train employees on AI and ML, fostering a culture of innovation and continuous learning.
• Work closely with cross-functional teams to identify areas where AI & ML can add value, providing thought leadership and strategic guidance. Mentor and guide other team members in the process of patent creation and other IP-related activities.

Breadth and Depth:

• Significant expertise and knowledge of specific domain or broad range of experience in analytics and technology domains, including understanding of in-house and third-party architecture integration for analytics platforms
• Great knowledge of TD applications, systems, networks, innovation, design activities, best practices, business / organization, Bank standards, regulatory and compliance standards.
• Strategic 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
• Facilitate key strategic discussions and provide thought leadership to executive audience (output may include strategic roadmap and/or deliverables/ frameworks/ short to long term goals/ patents/ other IP creation etc.)
• Set operational team direction and collaborate with others to execute on common goals
• Focus on longer range planning for functional area (e.g. 12 months or greater)
• Generally reports to executive

Experience And Education:

• Undergraduate degree or technical certificate
• Graduate degree preferred
• 8+ years of relevant experience with undergraduate degree or 5+ years’ experience with a graduate degree

The Director, Master Data Management – TDS will act as a Product Owner and subject matter expert by defining product strategies and roadmaps for Master Data platform builds. The incumbent will be responsible for driving the direction of the master data solution, including the various stages of data processing.

Depth & Scope:

• This role is responsible for:
• Sourcing Ingestion – Acquisition, Loading & Orchestration .
• Data Storage – Raw data storage, normalization rules and curation
• Data Profiling – Data profiling approach based on LDM and CDEs
• Matching & Merging – Rules based matching, clustering & Unique ID assignment
• Defining the Mastering Strategy – API / Service definitions to integrate with masters
• Developing DQ Reports – Work with ops to define DQ rules based on CDEs and drive DQ dashboard
• Partnering with technology team to drive product delivery roadmap and deliver against roadmap
• Partnering with reference data operations to define exception management and SOPs
• Reviewing with stakeholders and obtaining signoffs on project milestones and other significant items, as appropriate
• Supporting the integration of the new and legacy reference data stores through Migration & Reconciliation analysis.
• Working collaboratively across a matrix organization to gain support, resourcing, and drive results
• Being scale minded by ensuring re-use of core datasets, technology, architecture and techniques
• Acting as a clear communicator, both verbal and written to present articulately and confidently
• Being a team player that can engage on innovation and cultural changes throughout the organization

Education & Experience:

• Bachelor’s or Master’s degree.
• 10-15 years of experience in financial industry with focus on building / delivering large scale data driven platform solutions.
• Ability to create Data Flow Diagrams and Entity Relationship Models.
• Familiarity with data vendors feeds like Bloomberg Back-Office, Extended Back-Office, Per Security, Reuters Data Scope, FTID, Telekurs VDF, SIX FI, etc.
• Blending/linking sets of data from various sources (ex. external vendor feeds vs internally created data sets).
• Exposure to new semantic MDM products like Tamr, Zaloni, ANZO, Reltio etc.
• Exposure to Digital Transformation initiatives, Centralized Data sourcing Initiatives.
• Creating Program Management metrics & Reporting.
• Experience with stakeholder management to gather clear inputs and buy-in when defining Strategy, Charter and Roadmaps.
• Excellent verbal and written communication skills.

Physical Requirements:

Never: 0%; Occasional: 1-33%; Frequent: 34-66%; Continuous: 67-100%

• Domestic Travel – Occasional
• International Travel – Never
• Performing sedentary work – Continuous
• Performing multiple tasks – Continuous
• Operating standard office equipment – Continuous
• Responding quickly to sounds – Occasional
• Sitting – Continuous
• Standing – Occasional
• Walking – Occasional
• Moving safely in confined spaces – Occasional
• Lifting/Carrying (under 25 lbs.) – Occasional
• Lifting/Carrying (over 25 lbs.) – Never
• Squatting – Occasional
• Bending – Occasional
• Kneeling – Never
• Crawling – Never
• Climbing – Never
• Reaching overhead – Never
• Reaching forward – Occasional
• Pushing – Never
• Pulling – Never
• Twisting – Never
• Concentrating for long periods of time – Continuous
• Applying common sense to deal with problems involving standardized situations – Continuous
• Reading, writing and comprehending instructions – Continuous
• Adding, subtracting, multiplying and dividing – Continuous

The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties and skills required. The listed or specified responsibilities & duties are considered essential functions for ADA purposes.

Who We Are:

TD Securities offers a wide range of capital markets products and services to corporate, government, and institutional clients who choose us for our innovation, execution, and experience. With more than 6,500 professionals operating out of 40 cities across the globe, we help clients meet their needs today and prepare for tomorrow. Our services include underwriting and distributing new issues, providing trusted advice and industry-leading insight, extending access to global markets, and delivering integrated transaction banking solutions. In 2023, we acquired Cowen Inc., offering our clients access to a premier U.S. equities business and highly-diverse equity research franchise, while growing our strong, diversified investment bank. We are growth-oriented, people-focused, and community-minded. As a team, we work to deliver value for our clients every day.

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 base salary and variable compensation/incentive awards (e.g., eligibility for cash and/or equity incentive awards, generally through participation in an incentive plan) and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off (including Vacation PTO, Flex PTO, and Holiday PTO), banking benefits and discounts, career development, and reward and recognition. Learn more

Additional Information:

We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home.

Colleague Development:

If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll 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 we’re committed to helping you identify opportunities that support your goals.