Job Description

Accountabilities:

• Lead the day-to-day delivery of data, analytics, dashboards, and business intelligence products that support evidence-based decision-making across Canada.
• Own the team's committed workplan, establish priorities, monitor progress, and ensure analytical deliverables are completed to a consistently high standard.
• Manage, coach, and develop a team of technical and analytical professionals, establishing clear objectives, performance expectations, feedback processes, and development opportunities.
• Oversee the operational health, quality, and reliability of core data assets, analytical products, and reporting solutions.
• Lead initiatives related to data governance, data quality, master data management, and analytics standards.
• Provide technical direction and quality oversight across analytical, statistical, visualization, and spatial data projects.
• Guide the development and maintenance of dashboards and reporting solutions, including establishing effective Power BI and data visualization standards.
• Partner with GIS analysts and conservation specialists to guide the use and quality assurance of spatial data and analysis at regional and national scales.
• Collaborate with the Director of Data and Analytics on strategic priorities, team direction, and external commitments.
• Work closely with senior leaders, researchers, conservation practitioners, and business partners to translate organizational needs into practical data and analytics solutions.
• Translate complex technical findings into clear, accessible insights, visuals, and recommendations for non-technical stakeholders and senior leadership.
• Support the responsible adoption of AI-assisted development and analytical tools, establishing practical team standards and responsible-use practices.
• Identify opportunities to improve data workflows, analytics capabilities, automation, and overall operational effectiveness.
• Manage competing priorities across distributed teams and ensure projects remain aligned with strategic objectives and deadlines.

Requirements

• University or college degree in data science, geomatics, environmental science, computer science, or a related discipline; equivalent relevant education and experience may also be considered.
• At least 5 years of experience applying analytical and statistical methods and software tools to analyze data and develop reports.
• At least 3 years of experience managing technical or analytical teams, with demonstrated ability to coach, develop, and motivate professionals.
• Hands-on experience with at least one of Python, R, or SQL, with sufficient technical fluency to scope, direct, and review analytical work.
• Working knowledge of Power BI and data visualization principles, with the ability to guide dashboard development and reporting standards.
• Experience working with GIS, spatial data, and spatial analysis, ideally at regional or national scales.
• Demonstrated experience leading data governance, data quality, analytics, or related data management initiatives.
• Solid understanding of data governance, data quality, and master data management practices.
• Ability to support the adoption of AI-assisted tools, including coding assistants and LLM-based solutions, while establishing responsible usage standards.
• Strong ability to prioritize competing demands and translate strategic direction into clear team objectives and measurable outcomes.
• Proven stakeholder management skills, including the ability to negotiate competing priorities, resolve project issues, and build productive relationships with senior leaders and external partners.
• Excellent communication skills, with the ability to explain technical concepts and analytical results in clear, non-technical language.
• Strong organizational, interpersonal, and time-management skills, combined with a consistent record of meeting deadlines.
• Ability to work effectively with distributed teams across multiple time zones.
• Excellent written and spoken English; French language skills are considered an asset.

Additional technical experience considered an asset:

• Git and GitHub for version control and collaborative development.
• Data warehousing, ETL pipelines, and cloud technologies, particularly Azure.
• Conservation planning tools such as Marxan, prioritizr, or Zonation.
• Predictive modelling, classification, and clustering techniques.
• Remote sensing platforms and related analytical approaches.
• Knowledge of relevant policies and legislation.
• Experience with conservation, environmental, or other mission-driven organizations.

Benefits

• Annual salary of $82,772–$93,099 CAD, based on qualifications, experience, and relevant factors.
• Full-time, 12-month contract opportunity.
• Fully remote work anywhere in Canada, with flexible location arrangements.
• No regular in-person attendance required, aside from up to two staff gatherings per year
• Opportunity to lead a technical team while contributing to data-driven environmental and conservation initiatives.
• Meaningful opportunity to apply analytics, technology, and AI-enabled tools to projects with measurable conservation impact.
• Supportive environment focused on inclusion, collaboration, professional growth, and leadership development.
• Opportunity to work with multidisciplinary teams spanning analytics, GIS, research, conservation, and organizational functions.
• Inclusive and barrier-free workplace committed to equity, diversity, and inclusion.
• Workplace accommodations available throughout the recruitment and selection process.