AI Data Specialist Job at NTT DATA (Toronto)

Legal Ai Product Specialist / Sr Legal Ai Product Specialist - Evisort Ai

As a Legal AI Product Specialist you will work closely with our Product Managers...

Location

Canada , Vancouver

Salary:

113000.00 - 203500.00 CAD / Year

Workday

Expiration Date

Until further notice

Requirements

4+ years in corporate law, finance, consulting or data science
Specific/demonstrated experience reviewing and analyzing contracts across a variety of business contexts
Experience with generative AI, ideally a candidate who has spent significant time working with large language models (LLM) to solve problems in their personal, academic or professional lives
Experience in a law firm or in-house legal department is a plus, but not required
Strong analytic and quantitative skills, with the ability to analyze legal data and understand data at scale
Ability to identify minor discrepancies and errors within large volumes of information
Ability to work independently with minimum supervision, take ownership of issues, research, follow through, and resolve issues
Experience with Excel and other data analysis tools is required, allowing for the interpretation and manipulation of complex datasets to inform decision-making processes
Excellent oral, written and interpersonal communication

Job Responsibility

Crafting and maintaining a dataset of contract records and legal models
Point of escalation for the Data Science team
assist with unclear instructions/terms, help drive resolution
Partner with Product Management to resolve issues, clarify process flows, and find opportunities to strengthen partnerships
Brainstorm automation use cases and process improvements
Become the subject matter expert in various areas of contracts and contract clauses based on customer needs
Update procedural documentation
Special projects as assigned

What we offer

Workday Bonus Plan or role-specific commission/bonus
annual refresh stock grants

Fulltime

Specialist, Data and AI - AI Platforms

The Specialist, Data & Analytics – AI Platforms acts as a technical steward with...

Location

Canada , Toronto

Salary:

Not provided

Air Canada

Expiration Date

Until further notice

Requirements

University degree or technical certification in Engineering, Computer Science, Mathematics, Statistics, or other related technical fields
5+ years of IT experience in large enterprise environments
Experience with technologies supporting AI/ML environments, including: Azure DevOps & GitHub, Azure Kubernetes Service, Databricks, Azure Machine Learning, Azure AI Foundry, Azure Data Factory, Azure Function Apps, Azure Storage Accounts, Key Vault, SQL Server Databases, Service Bus
Excellent communication skills (written and verbal)
Strong problem solving and analytical abilities
Proven capability to work effectively in team driven, collaborative environments
Demonstrate punctuality and dependability to support overall team success in a fast-paced environment

Job Responsibility

Integrate AI products, machine learning models, and data pipelines into enterprise systems, ensuring they are stable, scalable, and aligned with reference architecture
Configure and maintain connectivity between AI platforms (such as Databricks or Dataiku) and upstream/downstream systems
Support the onboarding of new AI products into shared platforms and contribute to continuous improvement of integration processes
Deploy, configure, and maintain AI workloads within Microsoft Azure, adhering to enterprise cloud standards
Manage compute, storage, networking, and other Azure resources needed for AI platforms
Contribute to environment governance by applying deployment patterns and enforcing development/test/production separation
Support infrastructure as code processes using approved templates and CI/CD pipelines
Implement and maintain CI/CD pipelines for models, inference services, and data workflows in accordance with defined MLOps standards
Support model packaging, deployment, versioning, rollbacks, and promotion across environments
Integrate monitoring, observability, and alerting tools into AI workloads to ensure operational health

AI & Data Specialist (Power BI / Sustainability)

We are looking for a skilled AI Specialist to leverage the potential of AI to dr...

Location

Hungary , Pécs

Salary:

Not provided

Randstad

Expiration Date

July 31, 2026

Requirements

Degree in Data Science, Computer Science or Sustainability Management with a focus on or proven skills in Data Science, Computer Science
Experience with AI/ML technologies, ideally in a reporting or sustainability context
Proficiency in data analysis tools (e.g.,Power BI)
At least 2-3 years of professional experience
Good communication skills and experience in stakeholder engagement
Excellent analytical skills, independent, structured, and solution-oriented working style
Fluent in English
German is a plus
Enthusiasm for sustainability

Job Responsibility

Develop, program, test and implement AI-driven solutions
Automate data flows and reporting processes
Identify and integrate relevant ESG data sources
Create dashboards and visualizations to monitor ESG performance
Collaborate with internal and external stakeholders across Körber (e.g., sustainability team, IT, data owners)
particularly close cooperation with the Head of Sustainability at Körber AG and the central sustainability team at the Hamburg headquarters

What we offer

Opportunity to contribute to a forward-looking sustainability strategy
Flexible working hours and remote work
Innovative, interdisciplinary team environment
Employee benefits such as bonuses, cafeteria, sports club, health fund, pension fund

Fulltime

Specialist, Data & AI Governance

The Governance Specialist, Data & AI is responsible for designing, implementing,...

Location

Canada , Dorval

Salary:

Not provided

Air Canada

Expiration Date

Until further notice

Requirements

Bachelor’s degree in information technology, Data Governance, Law, business or related field
5+ years of experience in technology governance, compliance, AI Strategy or risk management
Strong understanding of AI technologies and ethical considerations
Knowledge of AI governance, ethics, and regulatory frameworks
Knowledge of cloud computing platforms (Microsoft Azure, AWS, Google Cloud or Snowflake) and data warehousing
Excellent communication, problem-solving, and stakeholder management skills
Experience in policy development and implementation
Analytical mindset and attention to detail
Demonstrates a pragmatic approach with a strong focus on achieving tangible results
Ability to navigate through ambiguity and changing priorities

Job Responsibility

Establish, update and enforce company-wide (incl. affiliates) policies, directives and procedures to maintain trusted AI systems, as well as data integrity, protection, effective usage and alignment with regulatory requirements
Collaborate with privacy, legal, compliance, business, and technical teams to ensure AI solutions and data practices adhere to governance standards, including privacy principles, ethical requirements, data integrity, and regulatory compliance
Develop and conduct training programs to promote a culture of responsible AI and strong data governance and ensure understanding and adherence to Data & AI governance principles
Implement monitoring systems to track compliance and effectiveness of Data & AI governance policies and procedures and generate regular reports for senior leadership
Monitor industry trends and best practices in Data & AI governance to keep Air Canada ahead
Ensure knowledge transfer to peers by coaching and mentoring to build the Data & AI governance capability in the organization
Oversee cross-functional data stewardship activities to ensure accurate and consistent data across all systems and processes
Drive coordinated efforts to ensure comprehensive documentation of AI models and solutions utilized across the organization, leveraging our Governance platform for consistency and transparency
Lead assessments and impact analyses for AI initiatives, including bias detection, explainability, and accountability
Develop a strategy to govern and monitor new AI trends, including AI Agents

Enterprise Architecture Specialist - AI&Data

The Senior Enterprise Architecture for the AI & Data Domain will provide central...

Location

United Kingdom , Newbury

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

Academic Degree in Information Technology, Information Systems, Business Management, Computer Science, or similar required
3-5 years+ experience within IT programme management, IT Strategy, IT Systems Management, Enterprise Architecture or similar
Up-to-date certifications in Agile Way of Working, with working knowledge of SAFe, SCRUM, Spotify model etc. TOGAF certification is preferred
Outstanding written communications and presentation skillset with both internal stakeholders and external customers
Knowledge of Agile collaboration tools (Jira, Azure DevOps, Confluence, Mural etc)
In-depth understanding of enterprise architecture frameworks such as TOGAF and eTOM, with a proven track record in conducting architectural planning for complex modernization and transformation programs
Proficiency in technology delivery tooling including the creation of architecture deliverables (e.g., architecture diagrams) and demand flow management (e.g., Jira, Confluence), along with excellent technical authoring skills
Strong experience with AI and machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch)
Strong experience in architecting Data warehouse, BI & big data platforms on cloud
In-depth knowledge of cloud platforms such as AWS, Azure Cloud, or Google Cloud

Job Responsibility

Developing or Publishing Reference Architectures and Designs (Logical, Functional, and Application Architectures) that address both market-specific and global strategic priorities in accordance with industry and Vodafone standards
Continuous Evolution of the architectural landscape, ensuring it remains fit for purpose and responsive to changing business demands
Component Definition and Inventory Management: Define V-ODA components in relation to the domain and ensure domain-specific application inventories are accurate and well-maintained
Compliance: Maintain architecture decision logs, draft and update relevant policies, and manage compliance with architectural standards and governance frameworks
High-quality architecture deliverables including comprehensive and accurate architecture diagrams, white papers, and policy and standard documentation
Successful design and implementation of Data & AI architectures
Efficient and scalable Data & AI solutions
Strategic Alignment achieved between local business objectives and global technology capabilities, as evidenced by the successful implementation of Reference Architectures and Designs

What we offer

Discretionary yearly bonus: 10%
Annual leave: 28 days + bank holidays + the opportunity to buy/sell/carry over 5 days/year
Charity days: 5 days/year
Maternity/adoption leave: 52 weeks out of which the first 13 weeks are fully paid followed by 26 weeks of half pay and 6 months - working 4 days, getting paid 5
Paternity leave: 16 weeks fully paid
Private pension: You can contribute up to 5% of your basic pay with 2:1 matching from Vodafone up to 10%
Access to: private medical, private dental, free health assessments, share save scheme
Additional discounts: Vodafone retail, gym, cinema, cycle to work, season ticket loan

Apprentice - AI & Automation Specialist - Data Governance Products

Location

France , Paris

Salary:

Not provided

Doctolib

Expiration Date

Until further notice

Requirements

A Master's Degree student looking for a 1-year or 2-year apprenticeship starting September 2026 at the latest
Fluent in English and French (both written and spoken)
Comfortable navigating technical environments: you can read SQL queries to understand the scope of a data governance issue, dig into documentation, and use AI tools like Claude (Code, Cowork) and available MCPs as both a key enabler and a daily thinking partner
Not intimidated by engineering-grade tools: you won't write production code, but you'll use Python scripts, Dagster and GitHub Actions to build and maintain automations
An excellent team player with strong communication and interpersonal skills, able to collaborate effectively with cross-functional teams
Interested in working in a transversal, fast-moving environment where functional and technical boundaries aren't always clear-cut — you enjoy mapping complexity rather than avoiding it
Eager to deepen your data knowledge gained from previous experiences, whether with a technical or a functional focus (both are a plus)

Job Responsibility

Contribute to AI-assisted governance workflows: from building an automated audit agent (e.g. via Claude Code) to auto-tag data assets, to leveraging tools like NotebookLM to generate one-pagers and videos that make governance policies land with any stakeholder
Own Data Governance KPIs and dashboards (Metabase) to drive gamified governance: track policy adoption, quantify the team's impact, and keep the metrics that incentivize data owners and influence governance standards company-wide
Simplify complexity every day by supporting cross-functional stakeholders on Data Governance topics, communicating policies and best practices across the organization, and delivering impactful internal presentations
Maintain the catalog as a real-time, end-to-end reflection of our data value chain: from production sources (Doctolib products, Salesforce, Zuora) to consumption in AI and analytics tools (Tableau, Metabase), in close collaboration with the Data Governance Engineer and catalog vendor
Run frequent user research and analyze usage metrics to prioritize the catalog roadmap and backlog
Drive catalog integration into Doctolib AI tools and promote adoption across all personas — success target: 200+ Monthly Active Users, with AI tool integrations via Catalog MCP as the primary adoption lever

Fulltime

Ai / data governance specialist

WFH flexibility! Up to 4 days/week! Global Environment! Competitive salary!

Location

Japan , Tokyo

Salary:

6000000.00 - 9000000.00 JPY / Year

Randstad

Expiration Date

June 29, 2026

Requirements

Japanese: Fluent or Native proficiency in reading, writing, and speaking, with certification
English: Professional working proficiency in reading and writing
Basic understanding of data management and AI concepts
Familiarity with PI/PII compliance regulations
Knowledge of IT application development and user support best practices

What we offer

健康保険
厚生年金保険
雇用保険
土曜日
日曜日
祝日

Fulltime

Data & AI DevSecOps Specialist

The Data and AI Delivery Unit is using innovative ways of leveraging BTs data su...

Location

India , Bengaluru

Salary:

Not provided

Plusnet

Expiration Date

Until further notice

Requirements

DevSecOps mindset with security being job number one
Comprehend Data and how to leverage its value in a safe way
Excellent knowledge of Regulation and Industry Standards and Legislations, e.g. GDPR and PECR and applying the right controls to comply
Expertise in applying the right security controls in an Analytics environment to ensure balance is maintained between securing the data and retaining the utility of the data
Stakeholder Management
Security Experience within several areas, such as Security Architecture, DevSecOPs and Vulnerability Scanning
Problem Solving
Automation
Technical Solutions
Data Knowledge

Job Responsibility

Knowledgeable on BTs data in a cloud environment
Must realize the role of data in relation to Business process and systems
Must classify the data and apply the appropriate controls
Experienced for ensuring that data is secured appropriately whilst at rest and as part of its journey into and through GCP
Provides 2nd Line SecOps
Runs the Security Guide, Trust, Verify Model
Provides guidance taking the squads from DevOps to a DevSecOps Model
Experienced in the assessment of new code pipeline patterns to ensure there are no security risk
Creates a change network that builds consensus and momentum for change
Provides clear communication and engagement plans with stakeholders

Fulltime

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AI Data Specialist

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