Senior Product Owner - Data & Analytics To Lead The Vision, Strategy, Backlog Management, And Delive
S I Systems
Senior Product Owner – Data & Analytics to lead the vision, strategy, backlog management, and delivery of data and analytics products within a large-scale enterprise data transformation program in the airline industry.Job Type:
Contract
Positions to fill:
1
Job End Date:
Nov 30, 2027
Pay Rate:
Hourly: Negotiable
Job ID:
155994
Title:
Senior Product Owner, Data and Analytics
The Senior Product Owner will own the vision, backlog, and value delivery for one or more data and analytics products within a large, multi-stream enterprise data program. This role is the bridge between business stakeholders and agile delivery teams, translating strategic objectives into prioritized, well-defined work that delivers measurable business outcomes. The successful candidate will work across data platform, data engineering, analytics, and AI teams to ensure trusted, reusable, and high-quality data products reach business users on time.
Location - Montreal
Duration - 1 year
Start - ASAP
Work Mode - Remote
Key Responsibilities
Product Vision and Strategy
Define and communicate the product vision, roadmap, and success measures for assigned data and analytics products, aligned to program and enterprise objectives.
Partner with business sponsors to identify high-value use cases and translate them into data product requirements.
Evaluate trade-offs between business value, technical feasibility, cost, and risk to guide investment decisions.
Backlog Ownership and Prioritization
Own, refine, and prioritize the product backlog, ensuring it is transparent, sequenced by value, and ready for upcoming sprints.
Write clear epics, features, and user stories with well-defined acceptance criteria, data definitions, and quality expectations.
Lead backlog refinement, sprint planning, sprint reviews, and Program Increment (PI) planning in partnership with the Scrum Master and delivery leads.
Manage dependencies across data pods, platform teams, and downstream consumers.
Stakeholder Engagement
Serve as the primary point of contact for business stakeholders on product scope, priorities, and delivery status.
Facilitate requirements workshops, demonstrations, and user acceptance testing with business users.
Communicate progress, risks, and decisions clearly to program leadership and executive sponsors.
Data Product Delivery and Quality
Ensure data products meet defined standards for data quality, lineage, metadata, security, and privacy.
Collaborate with data governance, architecture, and data stewardship teams to embed governance requirements into the backlog.
Accept or reject completed work against the Definition of Done and acceptance criteria.
Drive adoption of delivered products by working with business users on onboarding, training, and feedback.
Track product performance and value realization using defined key performance indicators.
Gather user feedback and usage insights to inform future iterations of the roadmap.
Contribute to the maturity of product management practices across the program.
Required Qualifications
8 or more years of experience in
product ownership, product management, or business analysis, including at least 4 years in data, analytics, or business intelligence products.
Strong knowledge of the
airline industry, i
ncluding core domains such as network planning, revenue management, flight operations, loyalty, and customer experience, and the data that supports them.
Proven experience as a
Product Owner in an Agile or Scaled Agile Framework (SAFe) environment
, including PI planning and multi-team coordination.
Strong understanding of modern data platforms and concepts, including data warehousing, data lakes or lakehouses, data pipelines, and data modelling.
Working knowledge of data governance, data quality, metadata management, and data privacy principles.
Demonstrated ability to write high-quality user stories and acceptance criteria for data and analytics work.
Experience with backlog and delivery tools such as
Jira, Azure DevOps, or Rally, and collaboration tools such as Confluence.
Excellent stakeholder management skills, with the ability to influence senior business and technology leaders.
Strong analytical, problem-solving, and decision-making skills.
Excellent written and verbal communication skills.
Nice to Have
Certified Scrum Product Owner (CSPO), Professional Scrum Product Owner (PSPO), or SAFe Product Owner/Product Manager (POPM) certification.
Hands-on familiarity with cloud data platforms such as Snowflake, Databricks, Microsoft Azure, Google Cloud Platform, or Amazon Web Services.
Experience with analytics and visualization tools such as Power BI, Tableau, or Looker.
Exposure to artificial intelligence, machine learning, or agentic AI use cases and the data foundations that support them.
Experience applying data product or data mesh operating models.
Direct experience delivering data or analytics products within an airline or major travel organization.
Experience working in a consulting or client-facing delivery environment.
Bilingual in English and French is an asset.
Title:
Senior Product Owner, Data and Analytics
The Senior Product Owner will own the vision, backlog, and value delivery for one or more data and analytics products within a large, multi-stream enterprise data program. This role is the bridge between business stakeholders and agile delivery teams, translating strategic objectives into prioritized, well-defined work that delivers measurable business outcomes. The successful candidate will work across data platform, data engineering, analytics, and AI teams to ensure trusted, reusable, and high-quality data products reach business users on time.
Location - Montreal
Duration - 1 year
Start - ASAP
Work Mode - Remote
Industry: Airline / Aviation
Key Responsibilities
Product Vision and Strategy
Define and communicate the product vision, roadmap, and success measures for assigned data and analytics products, aligned to program and enterprise objectives.
Partner with business sponsors to identify high-value use cases and translate them into data product requirements.
Evaluate trade-offs between business value, technical feasibility, cost, and risk to guide investment decisions.
Backlog Ownership and Prioritization
Own, refine, and prioritize the product backlog, ensuring it is transparent, sequenced by value, and ready for upcoming sprints.
Write clear epics, features, and user stories with well-defined acceptance criteria, data definitions, and quality expectations.
Lead backlog refinement, sprint planning, sprint reviews, and Program Increment (PI) planning in partnership with the Scrum Master and delivery leads.
Manage dependencies across data pods, platform teams, and downstream consumers.
Stakeholder Engagement
Serve as the primary point of contact for business stakeholders on product scope, priorities, and delivery status.
Facilitate requirements workshops, demonstrations, and user acceptance testing with business users.
Communicate progress, risks, and decisions clearly to program leadership and executive sponsors.
Data Product Delivery and Quality
Ensure data products meet defined standards for data quality, lineage, metadata, security, and privacy.
Collaborate with data governance, architecture, and data stewardship teams to embed governance requirements into the backlog.
Accept or reject completed work against the Definition of Done and acceptance criteria.
Drive adoption of delivered products by working with business users on onboarding, training, and feedback.
Continuous Improvement
Track product performance and value realization using defined key performance indicators.
Gather user feedback and usage insights to inform future iterations of the roadmap.
Contribute to the maturity of product management practices across the program.
Required Qualifications
8 or more years of experience in
product ownership, product management, or business analysis, including at least 4 years in data, analytics, or business intelligence products.
Strong knowledge of the
airline industry, i
ncluding core domains such as network planning, revenue management, flight operations, loyalty, and customer experience, and the data that supports them.
Proven experience as a
Product Owner in an Agile or Scaled Agile Framework (SAFe) environment
, including PI planning and multi-team coordination.
Strong understanding of modern data platforms and concepts, including data warehousing, data lakes or lakehouses, data pipelines, and data modelling.
Working knowledge of data governance, data quality, metadata management, and data privacy principles.
Demonstrated ability to write high-quality user stories and acceptance criteria for data and analytics work.
Experience with backlog and delivery tools such as
Jira, Azure DevOps, or Rally, and collaboration tools such as Confluence.
Excellent stakeholder management skills, with the ability to influence senior business and technology leaders.
Strong analytical, problem-solving, and decision-making skills.
Excellent written and verbal communication skills.
Nice to Have
Certified Scrum Product Owner (CSPO), Professional Scrum Product Owner (PSPO), or SAFe Product Owner/Product Manager (POPM) certification.
Hands-on familiarity with cloud data platforms such as Snowflake, Databricks, Microsoft Azure, Google Cloud Platform, or Amazon Web Services.
Experience with analytics and visualization tools such as Power BI, Tableau, or Looker.
Exposure to artificial intelligence, machine learning, or agentic AI use cases and the data foundations that support them.
Experience applying data product or data mesh operating models.
Direct experience delivering data or analytics products within an airline or major travel organization.
Experience working in a consulting or client-facing delivery environment.
Bilingual in English and French is an asset.
#J-18808-Ljbffr
Contract
Positions to fill:
1
Job End Date:
Nov 30, 2027
Pay Rate:
Hourly: Negotiable
Job ID:
155994
Title:
Senior Product Owner, Data and Analytics
The Senior Product Owner will own the vision, backlog, and value delivery for one or more data and analytics products within a large, multi-stream enterprise data program. This role is the bridge between business stakeholders and agile delivery teams, translating strategic objectives into prioritized, well-defined work that delivers measurable business outcomes. The successful candidate will work across data platform, data engineering, analytics, and AI teams to ensure trusted, reusable, and high-quality data products reach business users on time.
Location - Montreal
Duration - 1 year
Start - ASAP
Work Mode - Remote
Key Responsibilities
Product Vision and Strategy
Define and communicate the product vision, roadmap, and success measures for assigned data and analytics products, aligned to program and enterprise objectives.
Partner with business sponsors to identify high-value use cases and translate them into data product requirements.
Evaluate trade-offs between business value, technical feasibility, cost, and risk to guide investment decisions.
Backlog Ownership and Prioritization
Own, refine, and prioritize the product backlog, ensuring it is transparent, sequenced by value, and ready for upcoming sprints.
Write clear epics, features, and user stories with well-defined acceptance criteria, data definitions, and quality expectations.
Lead backlog refinement, sprint planning, sprint reviews, and Program Increment (PI) planning in partnership with the Scrum Master and delivery leads.
Manage dependencies across data pods, platform teams, and downstream consumers.
Stakeholder Engagement
Serve as the primary point of contact for business stakeholders on product scope, priorities, and delivery status.
Facilitate requirements workshops, demonstrations, and user acceptance testing with business users.
Communicate progress, risks, and decisions clearly to program leadership and executive sponsors.
Data Product Delivery and Quality
Ensure data products meet defined standards for data quality, lineage, metadata, security, and privacy.
Collaborate with data governance, architecture, and data stewardship teams to embed governance requirements into the backlog.
Accept or reject completed work against the Definition of Done and acceptance criteria.
Drive adoption of delivered products by working with business users on onboarding, training, and feedback.
Track product performance and value realization using defined key performance indicators.
Gather user feedback and usage insights to inform future iterations of the roadmap.
Contribute to the maturity of product management practices across the program.
Required Qualifications
8 or more years of experience in
product ownership, product management, or business analysis, including at least 4 years in data, analytics, or business intelligence products.
Strong knowledge of the
airline industry, i
ncluding core domains such as network planning, revenue management, flight operations, loyalty, and customer experience, and the data that supports them.
Proven experience as a
Product Owner in an Agile or Scaled Agile Framework (SAFe) environment
, including PI planning and multi-team coordination.
Strong understanding of modern data platforms and concepts, including data warehousing, data lakes or lakehouses, data pipelines, and data modelling.
Working knowledge of data governance, data quality, metadata management, and data privacy principles.
Demonstrated ability to write high-quality user stories and acceptance criteria for data and analytics work.
Experience with backlog and delivery tools such as
Jira, Azure DevOps, or Rally, and collaboration tools such as Confluence.
Excellent stakeholder management skills, with the ability to influence senior business and technology leaders.
Strong analytical, problem-solving, and decision-making skills.
Excellent written and verbal communication skills.
Nice to Have
Certified Scrum Product Owner (CSPO), Professional Scrum Product Owner (PSPO), or SAFe Product Owner/Product Manager (POPM) certification.
Hands-on familiarity with cloud data platforms such as Snowflake, Databricks, Microsoft Azure, Google Cloud Platform, or Amazon Web Services.
Experience with analytics and visualization tools such as Power BI, Tableau, or Looker.
Exposure to artificial intelligence, machine learning, or agentic AI use cases and the data foundations that support them.
Experience applying data product or data mesh operating models.
Direct experience delivering data or analytics products within an airline or major travel organization.
Experience working in a consulting or client-facing delivery environment.
Bilingual in English and French is an asset.
Title:
Senior Product Owner, Data and Analytics
The Senior Product Owner will own the vision, backlog, and value delivery for one or more data and analytics products within a large, multi-stream enterprise data program. This role is the bridge between business stakeholders and agile delivery teams, translating strategic objectives into prioritized, well-defined work that delivers measurable business outcomes. The successful candidate will work across data platform, data engineering, analytics, and AI teams to ensure trusted, reusable, and high-quality data products reach business users on time.
Location - Montreal
Duration - 1 year
Start - ASAP
Work Mode - Remote
Industry: Airline / Aviation
Key Responsibilities
Product Vision and Strategy
Define and communicate the product vision, roadmap, and success measures for assigned data and analytics products, aligned to program and enterprise objectives.
Partner with business sponsors to identify high-value use cases and translate them into data product requirements.
Evaluate trade-offs between business value, technical feasibility, cost, and risk to guide investment decisions.
Backlog Ownership and Prioritization
Own, refine, and prioritize the product backlog, ensuring it is transparent, sequenced by value, and ready for upcoming sprints.
Write clear epics, features, and user stories with well-defined acceptance criteria, data definitions, and quality expectations.
Lead backlog refinement, sprint planning, sprint reviews, and Program Increment (PI) planning in partnership with the Scrum Master and delivery leads.
Manage dependencies across data pods, platform teams, and downstream consumers.
Stakeholder Engagement
Serve as the primary point of contact for business stakeholders on product scope, priorities, and delivery status.
Facilitate requirements workshops, demonstrations, and user acceptance testing with business users.
Communicate progress, risks, and decisions clearly to program leadership and executive sponsors.
Data Product Delivery and Quality
Ensure data products meet defined standards for data quality, lineage, metadata, security, and privacy.
Collaborate with data governance, architecture, and data stewardship teams to embed governance requirements into the backlog.
Accept or reject completed work against the Definition of Done and acceptance criteria.
Drive adoption of delivered products by working with business users on onboarding, training, and feedback.
Continuous Improvement
Track product performance and value realization using defined key performance indicators.
Gather user feedback and usage insights to inform future iterations of the roadmap.
Contribute to the maturity of product management practices across the program.
Required Qualifications
8 or more years of experience in
product ownership, product management, or business analysis, including at least 4 years in data, analytics, or business intelligence products.
Strong knowledge of the
airline industry, i
ncluding core domains such as network planning, revenue management, flight operations, loyalty, and customer experience, and the data that supports them.
Proven experience as a
Product Owner in an Agile or Scaled Agile Framework (SAFe) environment
, including PI planning and multi-team coordination.
Strong understanding of modern data platforms and concepts, including data warehousing, data lakes or lakehouses, data pipelines, and data modelling.
Working knowledge of data governance, data quality, metadata management, and data privacy principles.
Demonstrated ability to write high-quality user stories and acceptance criteria for data and analytics work.
Experience with backlog and delivery tools such as
Jira, Azure DevOps, or Rally, and collaboration tools such as Confluence.
Excellent stakeholder management skills, with the ability to influence senior business and technology leaders.
Strong analytical, problem-solving, and decision-making skills.
Excellent written and verbal communication skills.
Nice to Have
Certified Scrum Product Owner (CSPO), Professional Scrum Product Owner (PSPO), or SAFe Product Owner/Product Manager (POPM) certification.
Hands-on familiarity with cloud data platforms such as Snowflake, Databricks, Microsoft Azure, Google Cloud Platform, or Amazon Web Services.
Experience with analytics and visualization tools such as Power BI, Tableau, or Looker.
Exposure to artificial intelligence, machine learning, or agentic AI use cases and the data foundations that support them.
Experience applying data product or data mesh operating models.
Direct experience delivering data or analytics products within an airline or major travel organization.
Experience working in a consulting or client-facing delivery environment.
Bilingual in English and French is an asset.
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