Momento USA is a global technology consulting, talent acquisition, and creative development firm that addresses clients' most pressing needs and challenges. We are currently looking for an AI & Data Engineering Business Analyst.

Role: AI & Data Engineering Business Analyst

Experience: 7-9 Years of experience as a Business Analyst, Data Analyst, or Functional Consultant

Location- Hybrid in Montreal, Canada/ Dallas, TX.

Domain: Banking, Financial Services & Capital Markets (BFSI)

Role Overview

We are seeking an experienced AI & Data Engineering Business Analyst with strong Banking and Financial Services domain expertise to act as the bridge between business stakeholders and data engineering, analytics, and AI teams.

The ideal candidate will have experience in gathering and translating business requirements into data and analytics solutions, supporting enterprise data platforms, AI/ML initiatives, regulatory reporting, customer analytics, risk management, and digital transformation programs. The candidate should be comfortable working with business leaders, product owners, data architects, data engineers, and technology teams in an Agile workplace.

Key Responsibilities

Business Analysis & Stakeholder Management

- Collaborate with business stakeholders to understand strategic objectives, business processes, and pain points.
- Conduct workshops, stakeholder interviews, and requirement elicitation sessions.
- Translate business requirements into functional and non-functional specifications.
- Act as a liaison between business, product, data engineering, analytics, and AI teams.
- Facilitate requirement prioritization and backlog management.

Data & Analytics Requirements
- Define data requirements for reporting, analytics, dashboards, and AI/ML use cases.
- Create business process flows, use cases, data mappings, source-to-target mappings, and functional specifications.
- Work with Data Engineers to define data ingestion, transformation, and validation requirements.
- Support data quality, data governance, metadata management, and data lineage initiatives.




- Define KPIs, business metrics, and success criteria for data products.

AI & Advanced Analytics Initiatives
- Identify opportunities to leverage AI, Machine Learning, Generative AI, and predictive analytics to improve business processes.
- Assist in defining AI/ML use cases, business value hypotheses, and adoption strategies.
- Collaborate with Data Scientists and AI Engineers during solution design and implementation.
- Support UAT, model validation, and business acceptance activities.

Banking & Financial Services Domain Support
- Work on initiatives related to:

- Wealth Management
- Capital Markets
- Investment Banking
- Risk & Compliance
- Regulatory Reporting
- Trade Processing
- Customer Analytics
- AML/KYC
- Financial Data Management
- Ensure proposed solutions align with regulatory and compliance requirements.

Delivery & Agile Support
- Create and maintain user stories, epics, acceptance criteria, and business documentation.
- Participate in Agile ceremonies including sprint planning, backlog grooming, standups, and retrospectives.
- Track requirements through the SDLC and support change management activities.
- Coordinate UAT execution and defect management.

Required Skills

Business Analysis

- Requirements Gathering
- Functional Specifications
- Use Case Development
- Process Mapping
- User Story Creation
- UAT Coordination
- Stakeholder Management

Data & Analytics
- Data Warehousing Concepts
- Data Modeling Fundamentals
- ETL/ELT Concepts
- Data Quality & Data Governance
- Reporting & Dashboard Requirements
- KPI Definition

Technical Understanding
- SQL (mandatory)
- Understanding of Data Lakes and Modern Data Platforms
- Snowflake,



Databricks, Azure Data Platform, AWS Data Services (preferred)
- APIs and Data Integration Concepts
- Familiarity with AI/ML lifecycle and Generative AI use cases

Tools

- JIRA
- Confluence
- Visio / Lucidchart
- SQL
- Power BI / Tableau
- Azure DevOps (preferred)

Required Experience

- 7-9 years of experience as a Business Analyst, Data Analyst, or Functional Consultant.
- Minimum 4+ years of experience in Banking and Financial Services.
- Experience working with enterprise data platforms, data engineering programs, or analytics initiatives.
- Experience interacting with senior business stakeholders and technology teams.
- Strong understanding of Agile delivery methodologies.

Preferred Qualifications

- Bachelor's degree in Engineering, Computer Science, Information Systems, Finance, or related field.
- MBA or relevant postgraduate qualification preferred.
- CBAP, CCBA, PMI-PBA, Scrum certifications are advantageous.
- Exposure to AI/ML, Generative AI, or Data Science projects is a plus.

Desired Candidate Profile

The ideal candidate should possess:

- Strong BFSI business knowledge.
- Excellent communication and stakeholder management skills.
- Analytical and problem-solving mindset.
- Ability to translate complex business requirements into actionable data solutions.
- Experience working in global delivery environments and cross-functional teams.
- Ability to manage multiple stakeholders and priorities in a fast-paced environment.

Thanks,

Samuel Brown

Momento USA | Exceeding Customer Expectations

440 Benigno Blvd, Unit#A 2nd Floor. Bellmawr, NJ 08031

Interstate Business Park

Tel : Direct: (phone hidden)/(phone hidden) Extn 1020

Email: Web:

Note: Momento USA is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

📌 AI & Data Engineering Business Analyst (Montreal)
🏢 Momento USA
📍 Montreal