Engineering Manager, Data Policy

Scotiabank; Dallas (TX); On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Flexible benefits

Job summary

Scotiabank is seeking an Engineering Manager on the Data & AI Technology team in Dallas. You will lead an engineering team responsible for designing, building, and operating secure, scalable enterprise platforms while still contributing code in ReactJS and Java.

The role demands strong people leadership, hands-on delivery, and the ability to translate strategy into technical direction across product, architecture, cybersecurity, and infrastructure teams.

Qualifications

• Bachelor’s or master’s degree in computer science, engineering, or related field (or equivalent).
• Proven success leading engineering teams delivering enterprise-scale software.
• Strong ability to translate strategy into technical direction and manage trade-offs.

Responsibilities

• Lead and grow a high-performing engineering team with clear expectations and accountability.
• Remain hands-on with full-stack work (ReactJS + Java) while guiding architectural decisions.
• Provide technical direction, manage dependencies, and align with product/architecture strategy.
• Ensure predictable delivery using engineering metrics and risk management.
• Drive secure-by-design development, automation, CI/CD, and reliable production operations.
• Guide cloud-native design, APIs, distributed services, and reusable platform capabilities.

Skills

Leadership

People management

Code review

Communication

Education

Bachelor’s or Master’s in CS/Engineering

Tools

ReactJS

Java

Azure

GCP

CI/CD

Infrastructure as Code

Job description

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Please note that the Salary Range shown is a guideline only. Salary offered may vary based on factors, including, but not limited to, the successful candidate’s relevant knowledge, skills, and experience.

Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

Purpose

As an Engineering Manager on Scotiabank’s Data & AI Technology team, you will lead an engineering team responsible for designing, building, and operating secure, resilient, and scalable enterprise platforms and products within a defined product or platform capability. This is a hands-on engineering leadership role: you will actively write and review production code, prototype solutions, troubleshoot complex issues, and contribute directly to critical technical outcomes while managing and developing the team. You will combine strong technical judgement with people leadership and delivery accountability—providing technical direction within the team’s domain, managing execution and operational risk, and partnering across product, architecture, cybersecurity, infrastructure, and business teams. Experience with data platforms and exposure to data management disciplines such as metadata inventory, lineage, quality, governance, and secure data use will help you guide solutions in this domain, but the role is fundamentally accountable for team-level engineering excellence, delivery, and production outcomes.

What You’ll Do

• Lead, grow, and retain a high-performing engineering team; set clear expectations, coach performance, support succession and development planning, and create an inclusive culture of accountability, customer focus, and continuous improvement.
• Remain hands-on in the full-stack codebase (ReactJS + Java) by designing and implementing production solutions, developing prototypes and reference implementations, reviewing pull requests, improving tests and automation, and debugging complex application and platform issues. Balance direct technical contribution with effective delegation and team leadership.
• Provide technical direction within the team's domain, lead critical design decisions, manage dependencies with adjacent teams, and resolve complex engineering trade-offs in alignment with established product, architecture, and engineering strategy.
• Be accountable for predictable team delivery and measurable outcomes, using engineering metrics to manage roadmap commitments, capacity, quality, risk, technical debt, dependencies, and continuous improvement.
• Drive engineering excellence across the software lifecycle through secure-by-design development, automated testing, CI/CD, infrastructure as code, observability, performance engineering, production readiness, incident management, and service-level objectives.
• Guide the design and operation of cloud-native applications, APIs, distributed services, event-driven integrations, data-processing workloads, and reusable platform capabilities within the team's product or platform scope.
• Manage production health and operational risk for the team's services, lead response to significant incidents, ensure durable remediation, and communicate service health, risks, decisions, and resource needs to relevant stakeholders.
• Strengthen engineering practices within the team and across adjacent teams by contributing to shared standards, reusable patterns, talent development, and communities of practice.

What You’ll Bring

• Bachelor’s or master’s degree in computer science, engineering, or a related field, or equivalent practical experience.
• Strong experience leading an engineering team that delivers and operates enterprise-scale, production-grade software, platforms, or distributed systems in a complex and regulated environment.
• Demonstrated success managing engineers, with strength in talent assessment, coaching, performance management, workforce planning, succession, and organizational design.
• Strong, current coding proficiency and technical depth in modern software engineering, with demonstrated ability to design, build, test, review, and troubleshoot production-grade solutions. Experience should include cloud architecture, APIs and microservices, distributed and event-driven systems, security, resiliency, automated testing, and scalable integration patterns.
• Experience with cloud platforms such as Azure or GCP, containerized workloads, CI/CD, infrastructure as code, observability, reliability engineering, production support, and cost-conscious platform operations.
• Proven ability to translate established product and engineering strategy into team-level technical direction, evaluate architecture and build-versus-buy trade-offs, manage technical debt, and lead modernization within a defined product or platform scope.
• Strong delivery and operational management capability, including roadmap execution, capacity and dependency management, risk controls, engineering metrics, incident leadership, and continuous improvement.
• Ability to influence technology, product, and business stakeholders, communicate complex decisions with clarity, and build alignment across adjacent teams without relying solely on direct authority.

If you are a hands-on engineering leader who can write high-quality code, build a strong team, provide technical direction within a defined domain, and deliver secure, resilient enterprise platforms, this is an opportunity to help shape the future of Scotiabank’s Data & AI technology landscape while demonstrating results-driven, inclusive leadership and continually striving for better.

What’s in it for you?

Scotiabank wants you to be able to bring your best self to work – and life, every day. With a focus on holistic well-being, our many flexible benefit programs are designed to help support your unique family, financial, physical, mental, and social health needs.

Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know.

Scotiabank is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by federal, state, or local law.