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Added 2 hours ago
MC
Senior DevOps Engineer
Modern Campus
Canada
- Full-time
Modern Campus is looking for a Senior DevOps Engineer to build, operate, and improve the cloud infrastructure supporting our higher education products. Our environment is primarily AWS,…
Added 11 hours ago
W
Software Development Engineer - Agent Factory
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
Agent Factory is where Workday’s next chapter gets built. We’re forming small, senior, cross-functional AI teams that bring together product leaders, machine learning engineers, and…
Added 12 hours ago
NS
Senior DevOps Engineer, AI Platform
Network Solutions
Canada
- Full-time
We are looking for a hands-on Senior DevOps Engineer to build and operate the infrastructure powering our AI platforms, agent runtimes, web applications, backend services, APIs, and shared…
Added 12 hours ago
ZS
Principal Databricks Data Engineer
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Title: Principal Data Engineer – Databricks**
Added 12 hours ago
SL
Sr Security Platform Engineer
Sun Life
Toronto, ON · Sun Life Toronto One York
- Full-time
The Senior Security Platform Engineer is responsible for designing, implementing, supporting, and continuously enhancing Sun Life’s enterprise cryptographic security platforms, including…
Added 14 hours ago
T
Cloud Engineer
TechDoQuest
Brampton, ON
- Contract
We are looking for a Senior Azure Data Engineer to design, develop, and optimize scalable data pipelines and cloud data solutions. The role focuses on data engineering, integration, and…
Added 15 hours ago
MS
Senior DevOps Engineer
Motorola Solutions
Vancouver, BC
- Full-time
We are seeking a highly experienced and passionate Senior DevOps Engineer to join our team. In this pivotal role, you will be instrumental in evaluating, consolidating, and designing the…
Added 15 hours ago
Senior Software Engineer
Fleetworthy
Edmonton, AB
Senior-level full stack developer with Dev Lead Experience
Added 16 hours ago
SS
Senior Platform Engineer, Vice President
State Street
Toronto, ON
- Full-time
As a Senior Platform Engineer, you will be responsible for driving the architecture and implementation of complex cloud & hybrid data solutions for all the customer teams at State Street in…
Added 16 hours ago
T
Senior AML IT Developer
TD
Toronto, ON
- Full-time
The Java Developer / Data Engineer will join the Compliance, Surveillance & Supervision Product Technology team, which delivers technology solutions supporting the Compliance, Surveillance,…
Added 18 hours ago
T
Senior AML IT Developer
TD
Toronto, ON
- Full-time
The Java Developer / Data Engineer will join the Compliance, Surveillance & Supervision Product Technology team, which delivers technology solutions supporting the Compliance, Surveillance,…
Added 18 hours ago
Senior Software Engineer
SALT XC
Toronto, ON
Join us as a Senior Software Engineer building the next generation of AI products. This is a hands-on senior software development role: you'll spend roughly 80% of your time designing,…
Added 18 hours ago
KG
Senior Java Low Latency Developer with experience in Payments and Trading Platforms
K&K Global Talent Solutions INC.
Mississauga, ON
- Full-time
We are seeking an experienced Senior Java Low Latency Developer to join our Payments Processing Development team and help drive the evolution of our next-generation exchange connectivity…
Added 18 hours ago
KG
Senior Java Low Latency Developer
K&K Global Talent Solutions INC.
Mississauga, ON
- Full-time
We are seeking an experienced Senior Java Low Latency Developer to join our Payments Processing Development team and help drive the evolution of our next-generation exchange connectivity…
Added 20 hours ago
E
Senior Cloud Platform Engineer (AWS), AI Infrastructure - Evinova
Evinova
Mississauga, ON
- Full-time
As a Senior Cloud Platform Engineer on the ML/AI Ops team, you will design, build and operate the AWS platform that runs our production Generative AI, agentic AI and conversational AI…
Added 20 hours ago
Machine Learning Systems and Infrastructure Developer
Siemens
Kitchener, ON
Partner with the Senior AI/ML and Robotics Platform Engineer on dataset readiness, evaluation semantics, and model-quality criteria.
Added 23 hours ago
Senior Data Engineer
Pomerleau
Montreal, QC
We are building a modern data platform to power our Business Intelligence, AI, and analytics initiatives. As a Senior Data Engineer, you will own the data foundation end to end: ingesting…
Added 1 day ago
AI
Senior Azure Cloud Platform Engineer
Agility IT
Toronto, ON
- Contract
Our consulting client is seeking an experienced Senior Azure Cloud Platform Engineer to design, deploy, and support enterprise-grade Azure data and analytics platforms, including Power BI.
Added 1 day ago
W
Senior QA Engineer – Mobile Testing (Field Mobility)
W3Global
Canada
- Full-time
Senior QA Engineer - Mobile Testing (Field Mobility)
Added 1 day ago
T
Senior Machine Learning Engineer
Takeaway
Edmonton, AB
- Full-time
As a Senior ML Engineer you will take a leadership role in shaping the strategic direction of our machine learning infrastructure, proactively identifying opportunities for innovation and…
Added 1 day ago
MS
Senior Cloud Network Engineering Specialist (Hybrid)
Morgan Stanley
Montreal, QC
- Full-time
We’re seeking someone to join our Cloud Infrastructure team as a Senior Cloud Network Engineering Specialist to design and implement Public Cloud platforms and infrastructure-as-code,…
Added 1 day ago
RS
Senior AI Business Analyst
R Systems
Canada
- Contract
R Systems is a leading digital product engineering company that designs and develops chip-to-cloud software products, platforms, and digital experiences that empower its clients to achieve…
Added 1 day ago
M
Senior Manager, I&IT Site Reliability Engineering & Operations
Metrolinx
Toronto, ON
- Full-time
Microsoft Certified Azure Solutions Expert, Azure DevOps Engineer, or Equivalent is an asset.
Added 1 day ago
A
Senior Cloud Platform Engineer (AWS), AI Infrastructure - Evinova
AstraZeneca
Mississauga, ON · Canada - Mississauga
- Full-time
As a Senior Cloud Platform Engineer on the ML/AI Ops team, you will design, build and operate the AWS platform that runs our production Generative AI, agentic AI and conversational AI…
Added 1 day ago
L
Lead Architect / Principal Engineer
Litmus
Toronto, ON
- Full-time
Solid understanding of cloud-native infrastructure, CI/CD pipelines, and DevOps best practices.

R Systems

Senior AI Business Analyst

Canada

Contract

Apply About employer

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Job details

Job type: Contract
Posting language: English
Posted: Oct 1, 2026

Original job description

About R Systems:

R Systems is a leading digital product engineering company that designs and develops chip-to-cloud software products, platforms, and digital experiences that empower its clients to achieve higher revenues and operational efficiency. Our product mindset and engineering capabilities in Cloud, Data, AI, and CX enable us to serve key players in the high-tech industry, including ISVs, SaaS, and Internet companies, as well as product companies in telecom, media, finance, manufacturing, and health verticals.

We Are Great Place to Work® Certified™ in 10 countries with a full-time workforce [India, USA, Canada, Poland, Romania, Moldova, Indonesia, Singapore, Malaysia & Thailand]!

We are recognized as one of the Best Tech Brands 2024 by theTimes Group and India's Top 500 Value Creators 2023 by Dun & Bradstreet.

Company Link: R Systems | Digital Product Engineering

Position Overview:

We are seeking Senior AI Business Analyst serves as a strategic advisor, product analyst, and transformation leader responsible for identifying, shaping, and delivering Artificial Intelligence, Generative AI, Intelligent Automation, and Digital Transformation solutions that create measurable business value. This role partners with business stakeholders, product teams, data scientists, engineers, and executive leaders to identify opportunities, define strategic roadmaps, gather and prioritize requirements, develop business cases, and measure value realization. The Senior AI Business Analyst bridges the gap between business objectives and technical execution, ensuring AI solutions align with organizational goals, regulatory requirements, operational processes, and user needs. The incumbent leads to discovery efforts, facilitates design workshops, develops AI use cases and user stories, establishes business analysis standards, and mentors other business analysts while promoting innovation, adoption, and continuous improvement across the organization.

Key Responsibilities:

AI Strategy & Innovation

Identify, assess, and prioritize opportunities for AI, Generative AI, Intelligent Automation, and Digital Transformation initiatives.
Evaluate emerging AI technologies, industry trends, market offerings, and vendor capabilities to recommend innovative solutions.
Develop strategic roadmaps that align AI investments with business objectives and expected value outcomes.
Partner with leadership to define enterprise AI adoption strategies and implementation approaches.
Support AI operating model development, governance frameworks, and organizational readiness planning.

Business Analysis & Requirements Management

Lead discovery sessions, stakeholder interviews, workshops, and process assessments to identify business challenges and opportunities.
Translate business objectives into detailed business requirements, functional specifications, process flows, acceptance criteria, and user stories.
Build and maintain prioritized product backlogs using Agile methodologies.
Facilitate backlog refinement, sprint planning, story mapping, and release planning activities.
Create future-state business process designs that leverage AI to improve efficiency, quality, customer experience, and decision-making.
Conduct impact assessments and dependency analyses for complex AI initiatives.
Define AI use cases, personas, business rules, workflow requirements, and operational procedures.

AI Product Ownership Support

Partner with Product Managers, Product Owners, and Engineering teams to define AI product vision and delivery priorities.
Support end-to-end AI solution lifecycle management from ideation through deployment and continuous improvement.
Collaborate with data scientists and engineers to refine model requirements, business outcomes, and success criteria.
Validate that AI solutions effectively address business needs and deliver expected outcomes.
Assist with release planning, feature prioritization, and value-based decision making.

Process Transformation & Operational Excellence

Perform business process analysis, process mining, value stream mapping, and workflow optimization.
Identify process inefficiencies and recommend AI-enabled transformation opportunities.
Lead Business Process Reengineering (BPR) initiatives across multiple business functions.
Facilitate current-state and future-state process design workshops.
Apply Lean, Six Sigma, and continuous improvement methodologies to optimize operations.

Value Realization & Analytics

Develop business cases, financial models, and ROI analyses for AI investments.
Establish key success metrics, KPIs, adoption metrics, and value-tracking frameworks.
Measure and report realized benefits from AI implementations.
Identify opportunities for optimization and scaling of deployed AI solutions.
Monitor user adoption, operational performance, and business outcomes.

Stakeholder Management & Communication

Serve as a trusted advisor to business leaders and executive stakeholders.
Facilitate strategic planning sessions and executive workshops.
Present recommendations, roadmaps, findings, and business cases to senior leadership.
Communicate risks, dependencies, timelines, milestones, and value realization progress.
Build consensus among cross-functional teams and drive alignment on priorities and objectives.

AI Governance, Risk & Responsible AI

Support implementation of AI governance, risk management, and compliance frameworks.
Evaluate ethical, legal, security, privacy, and operational considerations associated with AI solutions.
Ensure requirements and solution designs align with organizational governance standards.
Assist in developing standards, controls, and best practices for responsible AI adoption.

Leadership & Team Development

Lead and mentor business analysts across multiple initiatives.
Establish standards, templates, methodologies, and best practices for business analysis activities.
Review and provide quality assurance for requirements, documentation, user stories, and deliverables.
Support capability development and knowledge-sharing initiatives within the AI practice.
Foster a culture of innovation, collaboration, continuous learning, and operational excellence.

Supervisory Responsibilities

Provides technical and functional leadership to Business Analysts and Associate Business Analysts.
Establishes business analysis methodologies, standards, governance processes, and quality controls.
Reviews work products and provides coaching, feedback, and mentorship.
Supports workforce planning, onboarding, training, and development activities.
Contributes to performance management and career growth discussions.

Experience

7-10+ recent years of business analysis, product management, digital transformation, or consulting experience.
3+ years focused specifically on AI, Generative AI, Intelligent Automation, Advanced Analytics, or Data-Driven Transformation initiatives.
Experience leading complex cross-functional initiatives from strategy through implementation.
Experience working within Agile, Scrum, SAFe, or hybrid delivery environments.
Demonstrated experience conducting requirement gathering, process analysis, and stakeholder management at executive levels.
Experience developing business cases, ROI analyses, and value realization frameworks.
Experience facilitating executive workshops and strategic planning sessions.
Experience supporting AI solution implementation, adoption, and change management initiatives.

Preferred Experience

Experience with Microsoft Copilot, Azure AI Services, OpenAI, Anthropic, Gemini, AWS AI, or similar AI platforms.
Experience with Agentic AI, AI Orchestration, Retrieval-Augmented Generation (RAG), Knowledge Management, and Enterprise Search.
Experience in management consulting, professional services, or large-scale enterprise environments.
Experience with process mining platforms such as Celonis, Signavio, or UiPath Process Mining.
Experience with organizational change management and technology adoption programs.
Experience supporting AI governance, model risk management, and responsible AI initiatives.
Experience across industries such as Government, Healthcare, Energy, Manufacturing, Financial Services, or Retail.

Certifications Preferred

Certified Business Analysis Professional (CBAP)
PMI Professional in Business Analysis (PMI-PBA)
Project Management Professional (PMP)
Certified Scrum Product Owner (CSPO)
Certified Scrum Master (CSM)
SAFe Product Owner/Product Manager
Lean Six Sigma Green Belt or Black Belt
Microsoft Certified: Azure AI Engineer Associate
Microsoft Applied Skills or Copilot Certifications
Certified Change Management Professional (CCMP)

Technical Skills

Required

Azure DevOps
Microsoft 365
Power BI
Visio
Miro / Mural
SQL fundamentals
Process mapping and workflow modeling
Requirements management tools

Preferred

Azure AI Studio
Power Platform
OpenAI APIs
Databricks
Snowflake
Celonis
Figma
Tableau
AI Governance Platforms
Prompt Engineering and AI Evaluation Frameworks

Education

Bachelor’s degree in business, Information Systems, Computer Science, Data Analytics, Engineering, Mathematics, Economics, or a related field required.
Master's Degree preferred.

Why Join R Systems?

Frequent Internal Hackathons: Engage in dynamic competitions with exciting prizes to keep your skills sharp.
Cultural Celebrations: Strengthen our familial bonds through shared celebrations, fostering a sense of community.
Diverse Project Exposure: Work on a variety of projects across sectors like Healthcare, Banking, e-commerce, and Retail, collaborating with leading global brands.
Centre of Excellence (COE): Benefit from technical guidance and upskilling opportunities provided by our team of technology experts, helping you navigate your career path.
E-Learning Platform: Gain access to comprehensive e-learning platforms coupled with a robust mentorship program to enhance your skills.
Open Door Policy: Embrace a culture of mutual support, respect, and open dialogue, promoting a collaborative work environment.

If you are passionate and excited about working in a fast-paced, innovative environment, we would love to hear from you!

R Systems is an equal opportunity employer that does not discriminate against any employee or job applicant because of race, color, religion, national origin, sex, physical or mental disability, age, or any other characteristic protected by law. We strive to build a team that reflects the diverse communities we serve, and we actively encourage applications from individuals of all backgrounds and experiences. Our commitment to equal opportunity extends to all aspects of employment, including recruitment, hiring, training, promotion, and benefits.

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More about this job

Responsibilities

Identify and prioritize AI and digital transformation opportunities, translate business objectives into requirements and product backlogs, and guide cross-functional teams through solution delivery. Develop business cases and value metrics, support AI governance and adoption, and mentor business analysts while establishing analysis standards.

Requirements

Requires a bachelor's degree in a relevant field and 7–10+ years of business analysis, product management, digital transformation, or consulting experience, including at least 3 years focused on AI, automation, advanced analytics, or data-driven transformation. Candidates should have experience leading complex initiatives, working in Agile environments, engaging executive stakeholders, developing ROI and value frameworks, and supporting AI implementation and change management.

Skills

AI Strategy
Generative AI
Business Analysis
Requirements Management
Agile Methodologies
Product Backlog Management
Process Analysis
Business Process Reengineering
Stakeholder Management
Business Case Development
ROI Analysis
AI Governance
Responsible AI
Change Management
Azure DevOps
Power BI

Benefits

E-Learning Platform
Mentorship Program
Upskilling Opportunities

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Generative AI
Intelligent Automation
Digital Transformation
Advanced Analytics
Agentic AI
AI Orchestration
Retrieval-Augmented Generation
Knowledge Management
Enterprise Search
Agile
Scrum
SAFe
Lean Six Sigma
Business Process Reengineering
Process Mining
Azure DevOps
Microsoft 365
Power BI
Visio
Miro
Mural
SQL
Azure AI Studio
Power Platform
OpenAI APIs
Databricks
Snowflake
Celonis
Prompt Engineering

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