Associate Director - Halifax

S M Software Solutions Inc; Halifax; On-site; CAD 140,000 - 190,000; Full time

Job summary

RBC Capital Markets is seeking an experienced Associate Director to lead Data Lifecycle Automation within the CM Technology Data and Architecture Strategy team. You will shape and strengthen the data lifecycle by applying AI-enhanced automation across governance, lineage, modeling, and controls at scale.

The role focuses on designing AI-driven solutions, collaborating with data governance, risk, and enterprise teams to elevate data quality and ensure compliant, efficient data operations across

Qualifications

• 7+ years of related experience leading in execution and delivery.
• Knowledge of data lifecycle and hands-on experience with application development and AI tooling.
• 3+ years with leading banks and organizations on data governance, controls framework, and strong awareness of technology architecture.
• Demonstrated ability to communicate with senior management across IT and business.
• Ability to learn and adapt in a dynamic environment.
• Hands-on experience in building complex custom screens and relevant experience with enterprise-grade application development.

Responsibilities

• Design and implement AI-driven automation solutions to enhance controls, lineage, DQ, data modeling, dictionary testing, documentation, and anomaly detection using modern frameworks and tools.
• Work closely with CM data governance, data quality controls, and Chief Data Office teams to embed AI capabilities into the controls framework.
• Collaborate with CM stakeholders, QTS application teams, Risk, and Finance teams to ensure adherence to data governance policies while exploring how AI and intelligent automation can unlock new insights and efficiencies.
• Lead the evaluation and adoption of agentic AI systems, RAG (Retrieval-Augmented Generation) models, and related technologies to automate repetitive tasks and enhance decision-making.
• Develop and prototype AI solutions using frameworks such as LangChain, LangGraph, and Model Context Protocol (MCP) to streamline controls workflows.
• Work alongside Business/Technology Owners and Data Stewards to ensure initiatives deliver against business outcomes and enable value creation.
• Cultivate and manage relationships with application teams, stakeholders across CM and Enterprise, and technology partners to ensure alignment and success.
• Thrive in a fast-paced environment with stringent deadlines during peak periods.
• Work with flexibility to enable collaboration across global teams in North America, EMEA, and APAC.

Skills

Artificial Intelligence

Critical Thinking

Data Administration

Database Structures

Data Modeling

Data Movement

Decision Making

Detail-Oriented

Group Problem Solving

Information Capture

Problem Solving

Standard Operating Procedure

Teamwork

Job description

We are looking for an experienced Associate Director, Data Lifecycle Automation to join the CM Technology (QTS) Data and Architecture Strategy team at RBC Capital Markets. This role offers an exciting opportunity to drive strategic objectives by shaping and strengthening the data lifecycle. The successful candidate will combine deep data expertise with emerging technologies, including AI-enhanced automation, to modernize data governance and support data transfer controls, lineage, data modeling, data quality, mapping, and other data tooling at scale.

Role Snapshot

• Job Title: Associate Director
• Client: RBC
• Work Location: Halifax, Canada
• Work Arrangement: Onsite
• Job Type: Full Time
• Work Schedule: 37.5 Hours/Week
• Application Deadline: October 10, 2026

Role Overview

The position of Associate Director offers an exciting opportunity with the CM Technology (QTS) Data and Architecture Strategy team, to drive strategic objectives for RBC Capital Markets by shaping and strengthening the data lifecycle.

The Associate Director, Data Lifecycle Automation will support the identification and automation of data transfer controls, lineage, data modeling, DQ, mapping, and other data tooling in CM QTS, and leverage AI-enhanced automation to modernize data governance at scale. This role combines deep data expertise with emerging technologies to work alongside leaders across Capital Markets and Enterprise.

Must-Have Requirements

• 7+ years of related experience leading in execution and delivery.
• Knowledge of data lifecycle and hands-on experience with application development and AI tooling.
• 3+ years with leading banks and organizations on data governance, controls framework, and strong awareness of technology architecture.
• Demonstrated ability to communicate with senior management across IT and business.
• Ability to learn and adapt in a dynamic environment.
• Hands-on experience in building complex custom screens and relevant experience with enterprise-grade application development.

Nice to Have

• Strong problem-solving capabilities; strong structured, analytical, and methodological thinking.
• Excellent verbal and written communication and presentation skills.
• Collaborative and organized; demonstrated ability to multitask across competing priorities.
• Proficiency with Tableau, MS Office (MS Project, Excel, PowerPoint, SharePoint), and Visio.

Key Responsibilities

• Design and implement AI-driven automation solutions to enhance controls, lineage, DQ, data modeling, dictionary testing, documentation, and anomaly detection using modern frameworks and tools.
• Work closely with CM data governance, data quality controls, and Chief Data Office teams to embed AI capabilities into the controls framework.
• Collaborate with CM stakeholders, QTS application teams, Risk, and Finance teams to ensure adherence to data governance policies while exploring how AI and intelligent automation can unlock new insights and efficiencies.
• Lead the evaluation and adoption of agentic AI systems, RAG (Retrieval-Augmented Generation) models, and related technologies to automate repetitive tasks and enhance decision-making.
• Develop and prototype AI solutions using frameworks such as LangChain, LangGraph, and Model Context Protocol (MCP) to streamline controls workflows.
• Work alongside Business/Technology Owners and Data Stewards to ensure initiatives deliver against business outcomes and enable value creation.
• Cultivate and manage relationships with application teams, stakeholders across CM and Enterprise, and technology partners to ensure alignment and success.
• Thrive in a fast-paced environment with stringent deadlines during peak periods.
• Work with flexibility to enable collaboration across global teams in North America, EMEA, and APAC.

Required Skills

• Artificial Intelligence (AI)
• Critical Thinking
• Data Administration
• Database Structures
• Data Modeling
• Data Movement
• Decision Making
• Detail-Oriented
• Group Problem Solving
• Information Capture
• Problem Solving
• Standard Operating Procedure (SOP)
• Teamwork