Specialist, Data & AI Governance Job at Air Canada (Dorval)

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

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

Data Quality Specialist (Lead) – Data Governance

Motion Industries is seeking a Data Quality Analyst (Lead) to join our Data Gove...

Location

United States , Birmingham

Salary:

Not provided

Genuine Parts Company

Expiration Date

Until further notice

Requirements

Bachelor's degree in computer science, Information Systems, Data Management, Statistics or a related field
equivalent combination of education and relevant experience considered
3-5+ years of experience in Data Quality for complex or federated data governance environments by implementing enterprise DQ programs, policies, standards and controls across multiple domains
3-5+ years of experience using established Data Quality Tools (Informatica Data Quality, Collibra, Precisely Data Quality 360, Talend, Ataccama etc.)
Advanced SQL skills required for querying and interpreting data structures, applying validation logic, and analyzing profiling and anomaly detection outputs
Experience using Data Governance Platforms (Informatica Data Governance & Catalog, Collibra Catalog, Alation Data Governance, MS Purview, etc.)
Experience using the Cloud Platform, Google Cloud Platform Dataplex preferred
Experience creating DQ dashboards/KPIs for stewardship or program monitoring by using BI Analytics tools, Power BI preferred
Working knowledge of data lineage and impact analysis concepts and tools
Strong ability to influence cross-functional stakeholders (analytics, IT, operational)

Job Responsibility

Assist Data Governance Program Manager in the creation of an enterprise data quality program across established Motion data domains by helping define standards, controls and shared expectations for CDEs, metrics, regulatory reporting, operational performance and AI-ready data
Profile and assess the quality of data by utilizing advanced tools and techniques to analyze data quality characteristics such as completeness, accuracy, consistency, and timeliness
Implement data cleansing projects and strategies to rectify identified data quality issues and discrepancies
Investigate and resolve data quality issues in a timely manner, collaborating with relevant stakeholders as needed
Work with IT and business teams to address underlying issues and implement corrective actions (root-cause analysis)
Prepare reports on data quality metrics, trends and issues for management and relevant business stakeholders
Provide guidance, mentorship and training to business and IT team members to incorporate data quality best practices and standards across our delivered services and technology platforms

What we offer

options for healthcare coverage
401(k)
tuition reimbursement
vacation
sick pay
holiday pay
Flexible Working Schedules
Wellbeing Programs
Learning Opportunities
Community Engagement

Fulltime

Data Governance Specialist

The Data Governance Specialist supports the implementation of data governance co...

Location

Saudi Arabia , Jeddah

Salary:

Not provided

Whitehall Resources Ltd

Expiration Date

Until further notice

Requirements

Experience as a Data Governance Specialist
Experience supporting data ownership and stewardship
Experience with data quality and cataloguing activities
Experience with AI governance and responsible use controls
Experience driving governance awareness and reporting
Ability to build partnerships across business, IT, BI, SAP, digital, cybersecurity, finance, procurement, and vendor teams
Coaching data engineers, BI specialists, architects, and business teams on data architecture, governance, modeling, platform best practices, and cost-aware design
Identifying data duplication, system complexity, poor data quality, integration gaps, reporting inconsistencies, and cost inefficiencies
Experience with modern data platforms, cloud architecture, SaaS integration, automation, AI/ML-ready architecture, advanced analytics capabilities, and FinOps practices
Working across complex SAP, Microsoft, SaaS, cloud, and on-premise environments

Job Responsibility

Implement data governance standards and processes
Support data ownership and stewardship
Coordinate data quality and cataloguing activities
Support AI governance and responsible use controls
Drive governance awareness and reporting

AI Data Specialist

We are seeking an AI Data Specialist with healthcare domain expertise to support...

Location

Canada , Toronto

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science/IT/Data Science, Health Informatics, or related field
8+ years of experience working as data specialist
Strong understanding of US healthcare payer data (claims, eligibility, clinical, pharmacy)
Proficiency in Python and SQL and experience with data quality and validation practices
Experience working in cross‑functional teams

Job Responsibility

Acquire, validate, and manage healthcare data from EHR/EMR systems, claims platforms, laboratory systems, medical devices, and third-party vendors
Ensure data completeness, accuracy, consistency, timeliness, and integrity across the healthcare data lifecycle
Perform data profiling, cleansing, normalization, and enrichment activities
Transform raw healthcare data into analytics- and AI-ready datasets
Collaborate closely with data engineering, AI/ML, analytics, clinical, and business teams to support solution delivery
Support operational reporting, dashboards, analytics products, and AI model consumption
Work with healthcare data standards and messaging formats, including HL7 (v2/v3) and FHIR
Apply and validate industry-standard coding systems: ICD-10, CPT, HCPCS, LOINC, SNOMED CT, RxNorm, NDC codes
Handle structured, semi-structured, and unstructured healthcare datasets (e.g., flat files, JSON, XML)
Prepare curated datasets for descriptive, predictive, and prescriptive analytics

Fulltime

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

Data Governance Specialist

We are seeking a Data Governance Specialist to play a pivotal role in embedding ...

Location

Hungary , Budapest

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

Experienced in data governance frameworks and metadata standards
Strong knowledge of Collibra implementation and optimisation
Skilled in managing cross-functional programmes and influencing senior stakeholders
Adept at embedding governance processes using automation and AI-driven tools
Strong communicator with proficiency in Microsoft tools and a collaborative mindset
Commercially aware, understanding how governance drives business value

Job Responsibility

Support the operationalisation of Vodafone’s Data Governance framework, ensuring compliance with regulatory requirements and internal standards
Lead the implementation and adoption of Collibra as the central metadata repository across Vodafone Markets and Group Functions
Drive technical integrations between Collibra and key platforms to automate metadata ingestion and improve efficiency
Define and maintain the roadmap for Collibra developments, ensuring timely upgrades and feature adoption across OpCos
Promote data literacy and cultural change by engaging stakeholders and supporting governance maturity initiatives

What we offer

Opportunity to work on enterprise-wide data governance initiatives with global impact
Exposure to cutting-edge tools and technologies, including Collibra and automation solutions
Collaborative environment with cross-functional teams and senior stakeholders
Career development in a growing area of data strategy and governance

Adoption Specialist (Data Protection & Governance)

Island is the ideal environment for enterprise work, where security is everywher...

Location

United States

Salary:

Not provided

Island

Expiration Date

Until further notice

Requirements

3–10 years in implementation consulting, solutions engineering, or a technical customer-facing role
Hands-on experience developing and deploying Data Protection and Data Governance work in enterprise environments
Deep expertise in enterprise security concepts, including DLP, zero trust, and endpoint policy management
Strong technical foundation with enterprise identity (Entra ID, Okta), SSO/SAML/SCIM, and browser environments
Understanding of AI topics, experience working with AI to execute work, and experience using AI to support modernizing data protection and data governance
Proven ability to lead workshops and drive decision-making among senior stakeholders
Exceptional communication skills to translate complex data security requirements into clear guidance
Willingness and ability to travel (30–60%) for on-site customer engagements

Job Responsibility

Lead time-boxed, structured deployment engagements focusing on Data Protection from kickoff through handoff
Conduct on-site workshops with customer IT, security, and data governance teams to define policy requirements
Work with our CSM and Deployment specialists who will configure Island Enterprise Platform environments, specifically focusing on DLP (Data Loss Prevention), web filtering, AI protection, data lineage/visibility, and endpoint policy management
Identify and remove technical and organizational governance blockers in real-time
Deliver a complete, documented handoff that leaves customers ready to manage their data security independently
Design, refine, and document the Island Deployment Framework as it relates to data governance
Develop specialized workshop guides and customer-facing materials for Data Protection configurations
Build a library of reusable deployment artifacts, such as DLP configuration playbooks and best-practice documentation
Capture lessons learned from each engagement to improve the overall data governance methodology
Develop and refine standardized engagement frameworks, templates, and methodologies for Catalyst Data Protection programs

What we offer

Comprehensive health, dental, and vision coverage
401(k) with company match
Generous paid time off and company holidays
Professional development and continuous learning opportunities
Highly collaborative, performance-driven culture

Fulltime

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Specialist, Data & AI Governance

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