CrawlJobs Logo

Specialist, Data & AI Governance

aircanada.com Logo

Air Canada

Location Icon

Location:
Canada , Dorval

Category Icon

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

Not provided

Job Description:

The Governance Specialist, Data & AI is responsible for designing, implementing, and overseeing Air Canada’s Data & AI Governance Programs. This role ensures that all Data & AI initiatives comply with ethical, regulatory, and organizational standards, working collaboratively with IT, Data, Legal, Compliance, Privacy, and Business teams. The Specialist will drive the adoption of responsible AI and data governance practices, fostering a culture of transparency, accountability, and trust in how data is managed, and AI is used across the organization.

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
  • Own the process of addressing audit findings and developing remediation plans

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
  • Demonstrate punctuality and dependability to support overall team success in a fast-paced environment

Nice to have:

  • Master’s degree an asset
  • experience in AI or data governance preferred
  • Certifications in Data Governance Frameworks, such as DAMA and/or DCAM would be a plus
  • Experience with Collibra or other governance platforms considered an asset
  • Based on equal qualifications, preference will be given to bilingual candidates

Additional Information:

Job Posted:
April 11, 2026

Job Link Share:

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Specialist, Data & AI Governance

AI & Data Lead

We are seeking a highly skilled AI & Data Lead to spearhead our transformation i...
Location
Location
United Kingdom , North West
Salary
Salary:
Not provided
dynamicsearch.co.uk Logo
Dynamic Search Solutions
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Proven experience in a senior data/AI/analytics role (e.g., Data Lead, Analytics Lead, AI Specialist, BI Lead)
  • Strong background with Power BI, including DAX, modelling, governance, and enterprise deployments
  • Hands-on experience building AI and machine learning solutions using modern cloud tools (Azure preferred)
  • Strong understanding of data engineering concepts (ETL/ELT, pipelines, warehousing)
  • Ability to translate business challenges into technical AI/analytics solutions
  • Excellent stakeholder engagement and communication skills
  • Strategic thinker capable of setting direction and driving organisational change
Job Responsibility
Job Responsibility
  • Strategic Leadership & Planning Develop and own the company’s AI, analytics, and data strategy
  • Create a roadmap for moving from traditional BI to a modern, AI-augmented data ecosystem
  • Identify opportunities where AI, ML, and automation can drive measurable value
  • Act as a trusted advisor to senior leaders and departments regarding data, BI, and AI
  • Translate complex data and AI concepts into clear business language and use cases
  • Facilitate workshops, run discovery sessions, and guide teams on AI best practices
  • Build prototypes and production-level AI/ML solutions, such as predictive models, natural language interfaces, and automation workflows
  • Develop robust data models, pipelines, and integrations to ensure scalable AI adoption
  • Establish data governance standards, security controls, and compliance practices
  • Own data quality frameworks to ensure trusted reporting and model reliability
Read More
Arrow Right

Ai Specialist

GoFundMe is looking for a dedicated Artificial Intelligence (AI) Specialist to j...
Location
Location
Argentina , Buenos Aires
Salary
Salary:
Not provided
gofundme.com Logo
GoFundMe
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Pursuing an M.S., or Ph.D. in Computer Science, Artificial Intelligence, NLP, Machine Learning, or a related discipline
  • Hands-on experience with LLMs and/or agent frameworks (LangChain, AutoGen, CrewAI, etc.)
  • Proficient in Python and familiar with modern AI tools and APIs
  • Understanding of prompt engineering, tool use, and agent architecture patterns
  • Comfortable working in a fast-paced, research-meets-production environment with ambiguity and exploration
  • Passion for organization and documentation
  • Strong written and verbal communication skills and ability to build strong relationships and trust with all partners at GoFundMe both technical and non-technical
Job Responsibility
Job Responsibility
  • Prototype LLM-based agents with advanced reasoning, planning, and long-term task decomposition capabilities
  • Explore multi-agent orchestration using frameworks like LangGraph, CrewAI, and Google ADK
  • Implement agent memory architectures like Pinecone, ChromaDB, or Weaviate, enabling persistent context across conversations and workflows
  • Integrate external APIs, internal tools, and structured data into agentic planning and execution flows
  • Help build scalable evaluation pipelines, including human-in-the-loop and automated testing frameworks
  • Contribute to our safety, governance, and observability tooling—embedding transparency and accountability into agent behavior
What we offer
What we offer
  • Make an Impact: Be part of a mission-driven organization making a positive difference in millions of lives every year
  • Innovative Environment: Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere
  • Collaborative Team: Join a fun and collaborative team that works hard and celebrates success together
  • Competitive Benefits: Enjoy competitive pay and comprehensive healthcare benefits
  • Holistic Support: Enjoy financial assistance for things like hybrid work, family planning, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being
  • Growth Opportunities: Participate in learning, development, and recognition programs to help you thrive and grow
  • Commitment to DEI: Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups
  • Community Engagement: Make a difference through our volunteering and Gives Back programs
Read More
Arrow Right

AI Conversation Design Specialist

This role is focused on creating a Conversational AI-driven self-service experie...
Location
Location
Munich; Berlin; Dublin
Salary
Salary:
Not provided
personio.com Logo
Personio SE & Co. KG
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 4–6 years of experience delivering AI Agents or chatbots (voice, chat, email, and messaging) preferably in SaaS, technology, or customer experience
  • German fluency highly preferred
  • Hands-on experience with chatbots / AI copilots such as Intercom Fin, Decagon, MavenAGI, Ada, Forethought or equivalent
  • Familiarity with APIs, comfortable occasionally writing snippets of code to bring in data from other systems into Intercom Fin
  • Strong understanding of AI/ML concepts, natural language processing, and customer support technologies (e.g., chatbots, virtual assistants)
  • Experience working with data analytics tools and interpreting model performance metrics
  • Demonstrated ability to translate business needs and customer pain points into technical requirements for AI solutions
  • Experience collaborating with Product, Engineering, Data, Systems, Customer Support, and Professional Services teams
  • Knowledge of customer experience metrics (CSAT, NPS, etc.) and best practices in B2B SaaS
  • Strong project management skills, including Agile or similar methodologies
Job Responsibility
Job Responsibility
  • Self-Service and Productivity Outcomes: Drive contact volume reduction and self-service by implementing solutions for top contact drivers, as well as driving Support Agent productivity and handling time through improvements to co-pilots
  • AI Conversation Automation: Develop AI automated workflows / agent operating procedures, run batch tests, configure personalized answers, and reverse engineer unresolved conversations
  • Conversation Design: Architect natural, useful interactions between customers and AI chatbots. Design the flow and logic of conversations for the chatbots, partnering with subject-matter experts. You tune and design bot conversations —flows, intents/tagging, prompts/responses, fallback logic— to cut hallucinations, misroutes, and unnecessary handoffs
  • AI Service Journey Design: Define and govern AI↔human and AI↔AI handoffs (confidence thresholds, triggers, routing rules), ensuring brand voice, privacy, and responsible-AI standards, building a deep knowledge of our customer journeys and user stories to anticipate and design for different scenarios
  • Data Integration: bring data from 3rd party systems and our own product into Intercom Fin to improve AI conversation effectiveness
  • Performance Monitoring and Improvement: Track key metrics (e.g., self-serve resolutions, monthly active users, deflection rates, resolution time, customer experience score, NPS) to evaluate AI impact, identify gaps, and implement improvements
  • AI Solution Delivery: Lead the implementation of AI-powered tools (e.g., chatbots, copilots, virtual assistants) that address common customer pain points and streamline support and professional services processes, and partner with Engineering and Systems on integrations and fixes
  • Cross-Functional Collaboration: Work closely with Product, Engineering, Customer Experience, Data and Systems teams to ensure AI solutions are aligned with customer needs and business objectives, and that we integrate seamlessly with the Personio Assistant and internal support tooling
  • Continuous Quality Improvement: Oversee the ongoing quality fine-tuning of AI tools using real customer data and feedback to improve routing, accuracy, relevance, and customer satisfaction. You approach with a product mindset, anticipating edge cases and interaction effects, and regression test as new changes are introduced. You monitor bot/service health, triage incidents and misroutes, and coordinate rapid fixes and postmortems as needed
  • Change Management: Champion the adoption of AI tools within customer-facing teams, supporting the development of training materials and enablement sessions dedicated to developing AI proficiency within CX
What we offer
What we offer
  • Receive a competitive reward package – reevaluated each year – that includes salary, benefits, and pre-IPO equity
  • Enjoy 28 days of paid vacation, plus an additional day after 2 and 4 years
  • Make an impact on the environment and society with 1 (fully paid) Impact Day
  • Receive generous family leave, child support, mental health support, and sabbatical opportunities
  • We enjoy gathering for meals, cultural initiatives, and events like local Summer Sessions and year-end celebrations. There's also healthy snacks, drinks, and a weekly catered lunch
  • 20 Flex Days per year to work remotely from other locations
  • Fulltime
Read More
Arrow Right

Data and Credit Bureau Attributes Specialist Consumer Credit Risk

The Data & Credit Bureau Attributes Specialist (AVP) - Consumer Credit Risk is r...
Location
Location
India , Mumbai
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in a relevant field (e.g., finance, risk management, information technology)
  • Experience in designing and implementing data governance frameworks that align with regulatory standards
  • Experience with data controls, summarization, and transformation in a credit risk context
  • Experience with modern data integration tools, cloud platforms, and emerging AI technologies
  • Experience in SAS, SAS/Stat, SQL
  • Strong financial management skills with experience managing large-scale data projects
Job Responsibility
Job Responsibility
  • Develop and enforce a governance framework that ensures the accuracy, security, and quality of data throughout its lifecycle
  • Oversee the transformation of raw and disparate data sets into actionable insights that support strategic and tactical decision-making within credit risk frameworks
  • Lead the end-to-end delivery process for building, testing, and deploying data pipelines
  • Ensure that all data driving regulatory reporting is accurate, timely, and adheres to compliance standards
  • Engage with senior stakeholders across Risk, IT, Compliance, and Business units
  • Lead innovation efforts that enhance the automation, scalability, and efficiency of data integration and controls
  • Fulltime
Read More
Arrow Right

AI Systems & Governance – Specialist

Support the responsible design, deployment, and governance of AI-enabled systems...
Location
Location
Salary
Salary:
Not provided
hiremoters.ai Logo
HiRemoters
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in cybersecurity, information security, access governance, or IT security architecture roles
  • 4 years experience in AI governance, analytics operations, automation governance, or related digital roles
  • Understanding of AI/ML concepts, model lifecycle, and automation workflows
  • Familiarity with responsible AI principles (bias, explain ability, transparency, risk controls)
  • Working knowledge of data governance and enterprise architecture concepts
  • Experience with AI-enabled tools or platforms (Azure AI, OpenAI integrations, or equivalent is an advantage)
  • Basic understanding of APIs, integrations, and system workflows
  • Ability to document technical concepts clearly for governance purposes
Job Responsibility
Job Responsibility
  • Support the implementation of AI governance frameworks, standards, and guardrails across AI and automation initiatives
  • Maintain inventories of AI use cases, models, and automation workflows
  • Assist in risk assessment and classification of AI use cases, including bias, explain ability, and operational risks
  • Coordinate documentation of model assumptions, intended use, limitations, and governance approvals
  • Support deployment readiness checks for AI-enabled solutions in collaboration with technical teams
  • Monitor AI systems for compliance with governance standards and escalate risks when required
  • Maintain AI governance documentation and lifecycle tracking
  • Support review processes for new AI use cases before deployment
  • Ensure alignment of AI initiatives with enterprise architecture and data governance standards
  • Contribute to governance reporting related to AI adoption and risk management
What we offer
What we offer
  • Flexible and Remote Working
  • Work from anywhere, supporting your work-life balance
  • Career Growth
  • We're committed to your development, offering training and advancement opportunities
  • Performance Recognition
  • Earn raises and career progression opportunities based on a quarterly performance review and a constructive feedback cycle
  • Health and Fitness Benefits
  • Receive fitness reimbursements from day one, and after one year of employment, gain access to a health budget to support your well-being
  • Extra Paid Annual Leave
  • Enjoy 22 days of vacation, with an additional day added for each year of employment, up to a maximum of 26 days
  • Fulltime
Read More
Arrow Right

Data Solution Architect

The Data Solution Architects work in the Data Architecture practice within the C...
Location
Location
Salary
Salary:
Not provided
admiralgroup.co.uk Logo
Admiral Group Plc
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Recognised expertise in Data Architecture & Strategy, the technology involved, current developments, the most commonly available products, and the application of Architecture within the data domain
  • Take innovative approaches to problem solving and/or devising inventive and creative solutions
  • Strong stakeholder management, ability to communicate at all levels to ensure business and technical objectives are met
  • Keep organisational objectives and strategies in mind and ensuring courses of action are aligned with the strategic context
  • Understand commercial considerations and ensure solutions reflect them when making decisions or recommending actions
  • Proactive approach, anticipating opportunities for improvement or development and taking appropriate action(s)
  • Proven experience working in a number of data domains (e.g. BI & Analytics, AI & ML, Master Data Management, Integration, Data Modelling, Data Quality and Governance)
  • Experience producing Data Solution Architecture documents and High-Level Designs
Job Responsibility
Job Responsibility
  • Together with Lead Solution Architects, provide strong technical solutions for value streams and the data domain, own those solutions from ideation to delivery, and ensure that business value can be realised through the correct implementation of the solutions
  • Lead and contribute to governance forums, ensuring solutions adhere to established standards and patterns, identifying and controlling divergences, and escalating where necessary
  • Build productive relationships with technical, business and data stakeholders to maintain alignment of technology and business strategies
  • Contribute to and help maintain a detailed understanding of the architecture for the data domain
  • Produce documentation of a high-quality and to a detailed level, ensuring that all decision points, building blocks, principles, rationale, roadmaps, and all interdependencies are understood, documented, and communicated across value streams
  • Contribute to the architecture and data modelling repositories using the Admiral architecture and data modelling tools
  • Write, or contributes to, articles, and papers and speak at conferences, user groups, or specialist subject groups on topics involved in Architecture. Play a leading role in special interest groups concerned within the data domain
What we offer
What we offer
  • Everyone receives 33 days holiday (including bank holidays) when they join us, increasing the longer you stay with us, up to a maximum of 38 days (including bank holidays)
  • You also have the option to buy or sell up to an additional five days of annual leave
  • Eligible for up to £3,600 of free shares each year after one year of service
  • Financial & Mortgage Advice
  • 24-Hour Ecare
  • Cycle to Work Scheme
  • Annual Holiday Allowance
  • Flexible Working
  • Simply Health
  • Private Health Cover
  • Fulltime
Read More
Arrow Right

Data Scientist – Applied AI & Agent Systems Specialist

✨ About This Role: Design, build, and deploy AI-powered agents and automation sy...
Location
Location
Salary
Salary:
Not provided
hiremoters.ai Logo
HiRemoters
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in Business Administration, Operations Management, Public Policy, International Development, or a related field
  • Strong proficiency in Python (production-level coding skills)
  • Minimum 5 years experience in applied AI, machine learning engineering, or AI-driven software development
  • Experience working with LLM APIs (OpenAI, Azure OpenAI, or equivalent)
  • Understanding of agentic architectures (tool use, memory, multi-step orchestration)
  • Experience with API integration and RESTful services
  • Familiarity with vector databases and embedding workflows
  • Knowledge of software version control (Git)
  • Experience with workflow automation/orchestration tools (n8n, LangChain, or equivalent frameworks)
  • Understanding of testing, logging, monitoring, and production deployment principles
Job Responsibility
Job Responsibility
  • Design, build, and deploy AI-powered agents and automation systems that enhance the operational intelligence, decision-making, and workflow efficiency
  • Act as the primary Applied AI Engineer within the Smart Systems & Operational Enablement department, translating business challenges into production-ready AI and agentic solutions
  • Develop software-driven AI capabilities that integrate securely and reliably into enterprise systems
  • Design and build AI agents using LLM APIs (e.g., Azure OpenAI, OpenAI or equivalent)
  • Develop multi-step orchestration workflows integrating AI models with internal systems and APIs
  • Implement agent memory systems (vector databases, embeddings, contextual retrieval)
  • Build and maintain AI-enabled automation using tools such as Python frameworks, n8n, or equivalent orchestration platforms
  • Develop evaluation frameworks to measure agent performance, accuracy, reliability, and drift
  • Deploy AI solutions in production environments following enterprise architecture standards
  • Collaborate with Systems Integration to embed agents within CRM/ERP and operational workflows
What we offer
What we offer
  • Flexible and Remote Working
  • Career Growth
  • Performance Recognition
  • Health and Fitness Benefits
  • Extra Paid Annual Leave
  • Special Birthday Perk
  • Fulltime
Read More
Arrow Right

Senior Data Security Engineer

At Awin, data is central to everything we do, and protecting it is mission‑criti...
Location
Location
Germany; Romania; United Kingdom; Spain; Italy; Sweden; France; Poland , Berlin; Iași; London; Madrid; Milano; München; Paris; Stockholm; Warsaw
Salary
Salary:
Not provided
awin.com Logo
Awin Global
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Demonstrable experience in a dedicated, senior data security role, with a proven track record of designing and implementing data classification frameworks and DLP programmes in complex, multi-cloud or hybrid environments
  • Hands-on experience with DLP policy architecture, implementation, and tuning across endpoint, network, and cloud channels, including data classification tooling (sensitivity label schema, sensitive information types, auto-labelling policies)
  • Solid understanding of cloud data environments — AWS, Azure, M365 — including where sensitive data resides and how it moves, and working knowledge of CASB concepts and how they complement DLP controls
  • Experience engaging with data engineering, data architecture, or data governance teams, with sufficient breadth across data cataloguing, lineage, and access governance to position data security as an enabler rather than a constraint
  • Exposure to security architecture processes — architecture reviews, reference architecture development, and architectural decision-making — and an understanding of how AI services handle and retain data, with awareness of AI governance and DSPM as an emerging area of responsibility
  • Working knowledge of GDPR obligations and how regulatory requirements translate into technical controls
  • Able to operate with a high degree of autonomy in ambiguous, evolving environments — this role is building a capability from a fragmented baseline and requires someone who can design, iterate, and adapt without waiting for direction
  • Strong credibility with senior technical stakeholders and clear communication across audiences — able to engage as a peer with the Security Architect and data professionals, and translate complex requirements into practical guidance for non-technical stakeholders
Job Responsibility
Job Responsibility
  • Architect and implement Awin's data security framework in partnership with the Security Architect. Build and operationalise the classification taxonomy, sensitivity tiers, and data handling standards that will underpin all downstream DLP, DSPM, and AI governance controls
  • Support the implementation of Awin's data classification programme —labelling policies, and classification coverage across all data environment where sensitive data is processed or stored
  • Own the implementation of DLP policies that prevent sensitive data from being shared, exported, or transmitted in breach of Awin's confidentiality risk appetite. Define policy architecture, alert thresholds, and enforcement logic. Work with Internal IT on deployment and tuning, and maintain audit-ready records of DLP events and enforcement actions
  • Operationalise data security posture management tooling to provide visibility and control over how sensitive data flows to AI tools and third-party services. Ensure that AI data governance controls are technically enforceable, supporting Awin's AI risk appetite statements and the requirements of the AI governance framework
  • Act as the data security domain expert for the Security Architecture function. Work closely with the Security Architect to provide specialist input into architecture reviews, product designs, and technology assessments where data security considerations are material
  • Engage directly with stakeholders to understand how sensitive data flows across the organisation, and to ensure that data security requirements integrate coherently with the broader data governance framework
What we offer
What we offer
  • Flexi-Week and Work-Life Balance: We prioritise your mental health and well-being, offering you a flexible four-day Flexi-Week at full pay and with no reduction to your annual holiday allowance. We also offer a variety of different paid special leaves as well as volunteer days
  • Remote Working Allowance: You will receive a monthly allowance to cover part of your running costs. In addition, we will support you in setting up your remote workspace appropriately
  • Pension: Awin offers access to an additional pension insurance to all employees in Germany
  • Flexi-Office: We offer an international culture and flexibility through our Flexi-Office and hybrid/remote work possibilities to work across Awin regions
  • Development: We’ve built our extensive training suite Awin Academy to cover a wide range of skills that nurture you professionally and personally, with trainings conveniently packaged together to support your overall development
  • Appreciation: Thank and reward colleagues by sending them a voucher through our peer-to-peer program
  • Fulltime
Read More
Arrow Right