Director – Technology Lead, Treasury Data Platform (US)

Work Location:

Mount Laurel, New Jersey, United States of America

Hours:

40

Pay Details:

$113,000 - $214,000 USD

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 candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs. 

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Line of Business:

Technology Solutions

Job Description:

The Director – Technology Lead, Treasury Data Platform leads and manages a team of specialized Engineers professionals in the development and implementation of solutions to meet business needs and aligned with technology strategies and emerging industry standards; this includes planning, evaluating, recommending, designing, operationalizing, and supporting solutions in compliance with enterprise and industry standards.

The Treasury Technology team is responsible for the measurement and management of market risk and Liquidity Risk for the Bank. The team develops financial models and processes required for measuring, transfer pricing, hedging product profitability, and financial management reporting.

The group is embarking on a brand-new initiative in TD’s Azure Cloud to build the next-generation strategic platform for risk, valuations, and analytics to meet the growing and future needs of the department. This includes working with cutting-edge technologies like Azure PaaS, Azure Databricks, Delta Lake, and NoSQL databases such as HBase, Cosmos DB, and MongoDB to support insight into the bank’s portfolios and valuation metrics.

Depth & Scope:

• Deep expertise and knowledge of specific domain or broad range of engineering frameworks, technology, tools, processes and procedures, as well as broader organization issues.
• Advanced and highly specialized knowledge of TD applications, systems, networks, innovation, design activities, best practices, business / organization, Bank standards, and may fulfill a governance role.
• Expert technical skills and a strong understanding of the team's product; spends about half their time on technical issues.
• Provides leadership and guidance to several teams and solves cross-department issues.
• Participates in the development of business strategies.
• Possesses solid understanding of the technology and issues.
• Ensures solutions are consistent with organizational objectives.
• Utilizes subject matter expertise to introduce new technologies, or new versions of existing technologies, into the organization.

Education & Experience:

• Bachelor or Graduate degree
• Strong academic background (e.g., computer science, engineering)
• 10+ years relevant experience

Preferred Qualifications :

• Lead stakeholder management and effective communication across business and technology teams.
• Translate data and methodology requirements into technical specifications for development teams.
• Drive architecture and design decisions based on business needs, incorporating stakeholder input.
• Conduct regular code reviews and provide technical guidance to developers and business systems analysts (BSAs).
• Manage and mentor a team of developers and BSAs, including 1st and 2nd line support.
• Lead small, highly technical teams and inspire junior team members.
• Work with stakeholders to understand requirements, build and prioritize backlog, and prototype solutions.
• Translate strategic goals into detailed technical requirements.
• Collaborate with business subject matter experts (SMEs) and other development teams.
• Understand cross-team impact across Treasury and articulate complex technical and business processes to executive stakeholders.

Technical Skills & Experience

• Strong understanding of the Spark Hadoop stack (in Java and/or Python).
• Proficiency in big data processes and debugging issues.
• Experience with Data Lake and Lakehouse architecture.
• Experience designing and maintaini