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S M Software Solutions Inc

Associate Director - Halifax

Halifax, NS, Canada

Job type: Full-time
Apply by: Oct 10, 2026
Experience: 7+ years of related experience leading in execution and delivery.
Working hours: 37.5 Hours/Week
Posting language: English
Posted: Oct 1, 2026

Apply About employer

Applications open in a new tab.

Original job description

Client: RBC – Associate Director

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

How To Apply

If you are interested in this opportunity and your profile matches the requirements, please send the following mandatory documents to hrsmss@smsoftconsulting.com:

mishra.neha@smsoftconsulting.com

Updated Resume in Word format – Mandatory
References – Mandatory
Visa Status – Mandatory
LinkedIn ID – Mandatory

Without the mandatory documents, we cannot submit a candidate.

Please ensure your profile demonstrates relevant experience in data lifecycle management, data governance, controls frameworks, application development, AI tooling, data architecture, and enterprise-grade application development.

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You have received this message either as a result of contacting our company to express interest in employment or as a result of posting your resume in a location that can be accessed by recruiters or HR specialists, which suggests an interest in being contacted about employment opportunities.

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More about this job

Responsibilities

Design and implement AI-driven automation for data governance, controls, lineage, data quality, modeling, documentation, and anomaly detection. Collaborate with Capital Markets, technology, risk, finance, and enterprise stakeholders to adopt AI tools and deliver data lifecycle improvements.

Requirements

Requires 7+ years of related experience leading execution and delivery, hands-on experience with data lifecycle management, application development, and AI tooling, and at least 3 years working with leading banks or organizations on data governance and controls frameworks. Candidates should understand technology architecture, communicate effectively with senior business and IT leaders, and have experience building complex, enterprise-grade applications.

Skills

Artificial Intelligence
Data Governance
Data Lifecycle Management
Data Modeling
Data Quality
Data Lineage
Data Controls
Application Development
Technology Architecture
Agentic AI
Retrieval-Augmented Generation
LangChain
LangGraph
Model Context Protocol
Tableau
Stakeholder Management

Visa sponsorship

Not detected in the job text

Keywords

Data Lifecycle Automation
Data Governance
Data Transfer Controls
Data Lineage
Data Modeling
Data Quality
Data Mapping
Artificial Intelligence
AI-Enhanced Automation
Agentic AI
Retrieval-Augmented Generation
LangChain
LangGraph
Model Context Protocol
Anomaly Detection
Data Dictionary Testing
Application Development
Enterprise-Grade Applications
Technology Architecture
Controls Framework
Capital Markets
Chief Data Office
Tableau
Microsoft Office
Microsoft Project
Excel
PowerPoint
SharePoint
Visio
Risk Management

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