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Added 13 mins ago
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R Systems

Senior AI Business Analyst

Canada

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

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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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