Senior Solution and Data Delivery Lead at Royal Bank of Canada

Toronto, Ontario, Canada -

Full Time

Start Date

Immediate

Expiry Date

06 Mar, 26

Salary

0.0

Posted On

06 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Warehouse Expertise, Data Architecture, ETL Development, Data Modeling, Agile Methodologies, Process Automation, Stakeholder Management, Compliance, Governance, Financial Forecasting, Risk Assessment, Resource Optimization, Quality Management, Requirements Analysis, Cloud Computing, Database Development

Industry

Financial Services

Description

Job Description What's the opportunity? We’re seeking an experienced Data Delivery Lead to bring agility and subject-matter expertise in designing and implementing data warehouse engineering solutions. This role is ideal for a results-driven leader passionate about end-to-end management of data intake and delivery processes, leveraging frameworks like Agile/SAFe to align initiatives with business objectives. You’ll combine process optimization, stakeholder collaboration, and technical innovation to drive efficient, high-impact delivery. This is a unique opportunity to advance in the dynamic field of data engineering while collaborating with a passionate team dedicated to providing high-quality data to our business units and AI systems. At RBC Borealis, you’ll join a forward-thinking team that partners closely with leading data and AI experts across multiple business lines. Our environment leverages diverse data platform technologies (on-premises and cloud), with the enterprise data warehouse serving as the critical source of truth for operational and analytical processes. As a pivotal leader, you’ll ensure our data warehouse remains robust, scalable, and strategically aligned with RBC’s goals, driving innovation in a space where data is fundamental to success. Your responsibilities include: Lead the end-to-end Data Delivery & Intake Process: Design, operationalize, and continuously improve workflows while ensuring adherence to governance and seamless transition from intake to implementation. Drive solution design and delivery: Collaborate with data warehouse/engineering teams to architect robust solutions, prioritize projects, and ensure successful end-to-end execution. Ensure compliance and data integrity: Guide data architecture/engineering decisions to maintain compliance, scalability, and resilience in on-premises and cloud data warehouse solutions. Leverage innovation for efficiency: Utilize tools like GitHub Copilot to accelerate analysis, development, documentation, and automation (e.g., Jira scripts) for streamlined delivery tracking and operational efficiency. Strategic portfolio management: Facilitate the Portfolio Planning & Intake Review Committee to score, prioritize, estimate, and align initiatives with RBC’s strategic goals, ensuring business requests are routed to appropriate teams. Optimize delivery pipeline and resources: Manage capacity, and forecasting to meet demands, while developing metrics to track progress. Stakeholder collaboration: Partner with clients, product managers, architects and developers to define requirements and translate business needs into technical solutions. Uphold quality and compliance: Ensure all solutions meet RBC’s security, regulatory, and scalability standards throughout the delivery lifecycle. You're our ideal candidate if you have: - Strong Data Warehouse Expertise 7+ years of hands-on experience with data warehouse (preferred on-premise such as Teradata) and/or other tools (e.g., Snowflake, Databricks). Proven track record in data architecture, ETL development, data modeling, and optimizing large-scale data onboarding and offboarding. In-depth knowledge of end-to-end data engineering processes, from design to deployment. Nice-to-have: Familiarity with DataStage and SQL. - Technical Delivery Leadership & Innovation Strong experience with Agile methodologies, Jira, and GitHub (including Copilot and Actions). Experience in process automation, GenAI tools, and continuous improvement. Nice-to-have: Familiarity with DataOps automation and DataStage. - Strategic & Operational Excellence Strategic prioritization, financial forecasting, risk assessment, and resource optimization. Exceptional stakeholder management and problem-solving skills. Experience with portfolio planning and aligning initiatives to business objectives. - Compliance & Governance Understanding of data governance, lifecycle management, and regulatory compliance (e.g., OSFI, Privacy). Nice-to-have: Familiarity with RBC’s data ecosystem and internal compliance frameworks. - Education & Foundations Bachelor’s degree in Computer Science, Information Systems, or equivalent experience. What's in it for you? Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential; A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable; Leaders who support your development through coaching and managing opportunities; Ability to make a difference and lasting impact from a local-to-global scale. About RBC Borealis RBC Borealis is the driving force behind Royal Bank of Canada’s AI and data innovation. As part of Canada’s largest financial institution, we bring together a team of architects, engineers, scientists, and product experts on a mission to revolutionize finance through world-class research, solutions, and a resilient data platform. With locations across Toronto, Waterloo, Montreal, Calgary, and Vancouver, we’re at the forefront of AI research and platform development. With a focus on cutting-edge research in areas like time series forecasting, causal machine learning, and responsible AI, we are seamlessly integrating AI research and data engineering, to solve critical challenges in the financial industry. We are building intelligent, and scalable, data-driven solutions that will help communities thrive and drive innovation for our customers across the bank. Inclusion and Equal Opportunity Employment RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request. #TECHPJ #Ll-POST Job Skills Big Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Group Problem Solving, Quality Management, Requirements Analysis Additional Job Details Address: RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO City: Toronto Country: Canada Work hours/week: 37.5 Employment Type: Full time Platform: TECHNOLOGY AND OPERATIONS Job Type: Regular Pay Type: Salaried Posted Date: 2025-12-05 Application Deadline: 2026-01-15 Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above Inclusion and Equal Opportunity Employment At RBC, we believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all. Join our Talent Community Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you. Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

Responsibilities

Lead the end-to-end Data Delivery & Intake Process while ensuring adherence to governance and seamless transition from intake to implementation. Collaborate with data warehouse/engineering teams to architect robust solutions and ensure successful end-to-end execution.