Closed listing
Associate Director - Halifax
- Halifax, NS, Canada
Full-time
This opening has closed.
The original listing is kept below for reference.
Job details
- Job type
- Full-time
- Closing date
- Experience
- 7+ years of related experience leading in execution and delivery.
- Working hours
- 37.5 Hours/Week
- Posting language
- English
- Posted
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Search current openingsOriginal job description
Archived listing. The details below describe a past opening.
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
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
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
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.
Apply Online
Email is the best way to reach us.
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.
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
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.
- 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.
- 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.
- 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
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
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.
Apply Online
Email is the best way to reach us.
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.
More about this job
Responsibilities
Design and implement AI-driven automation for data governance controls, lineage, data quality, modeling, documentation, and anomaly detection, while evaluating agentic AI and related technologies. Collaborate with Capital Markets, technology, risk, finance, and data governance stakeholders to embed AI capabilities, align initiatives with business outcomes, and improve controls workflows.
Requirements
Requires 7+ years of related experience leading execution and delivery, hands-on knowledge of data lifecycle management, application development, and AI tooling, plus 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, adapt to a dynamic environment, and have experience building complex custom screens and enterprise-grade applications.
Skills
- Artificial Intelligence
- Data Governance
- Data Lifecycle Management
- Data Modeling
- Data Quality
- Data Lineage
- Data Controls
- Application Development
- AI Tooling
- Agentic AI
- Retrieval-Augmented Generation
- LangChain
- LangGraph
- Model Context Protocol
- Stakeholder Management
- Critical Thinking
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Management & Leadership
- Finance & Accounting
- Software
Keywords
- Artificial Intelligence
- AI-Enhanced Automation
- Data Lifecycle Management
- Data Governance
- Data Transfer Controls
- Data Lineage
- Data Modeling
- Data Quality
- Data Mapping
- Data Architecture
- Application Development
- Enterprise-Grade Applications
- Agentic AI
- Retrieval-Augmented Generation
- LangChain
- LangGraph
- Model Context Protocol
- Anomaly Detection
- Controls Framework
- Data Dictionary Testing
- Documentation
- Tableau
- Microsoft Office
- Microsoft Project
- Excel
- PowerPoint
- SharePoint
- Visio
- Capital Markets
- Risk Management