Product Manager - Data Analytics

The Company:

Hexagon is a global leader in digital reality solutions, combining sensor, software, and autonomous technologies. We are putting data to work to boost efficiency, productivity, quality, and safety across industrial, manufacturing, infrastructure, public sector, and mobility applications.

Our technologies are shaping the production and people-related ecosystems to become increasingly connected and autonomous — ensuring a scalable, sustainable future.

Hexagon’s Mining division solves surface and underground mine challenges with proven technologies for planning, operations, and safety.

Hexagon (Nasdaq Stockholm: HEXA B) has approximately 24,000 employees in 50 countries and net sales of approximately 5.5bn USD. Learn more at hexagon.com and follow us @HexagonAB.

Purpose of Position:

The Product Manager – Analytics is responsible delivering, and evolving Hexagon’s analytics strategic capabilities within the Insights and Data Platform portfolio. This role drives the creation of scalable, data‑driven solutions that improve the safety, productivity, and operational performance of mining customers.

This role works across product lines, engineering, consulting focused SmartCenters, and regional stakeholders to ensure the analytics strategy aligns with business goals, leverages high‑quality data, and produces reusable, globally scalable outcomes. This includes shaping product direction for ML‑powered features, developing product performance KPIs, and ensuring customer validation and business value realization through analytics.

Major Areas of Responsibility:

• Lead product strategy and roadmap development for analytics capabilities across the Insights platform, with alignment to broader portfolio goals.
• Drive data‑driven decision‑making, ensuring analytics and ML value creating features emphasize accuracy, explainability, and scalable architecture from incubation to product delivery.
• Define, prioritize, and refine analytics features and requirements, incorporating customer research, SME input, and market insights.
• Support customer discovery activities, including interviews, validation sessions, prototype evaluations, and concept testing.
• Establish and maintain product metrics and KPIs to guide performance measurement, adoption, and continuous improvement.
• Support the development and proper application of SaaS pricing models, cloud cost monitoring, and consumption‑based analytics capabilities.
• Collaborate with cross‑functional teams, including engineering, data science, UX, SmartCenters, and regional product specialists, to deliver high‑quality analytics features.
• Manage executive and cross‑functional stakeholder alignment through clear communication of strategy, decisions, and tradeoffs.
• Work closely with Product Specialists to transform regional needs into scalable analytics solutions while minimizing over‑customization.
• Champion ethical AI/ML practices, data stewardship, and global privacy and governance standards.

Knowledge and Experience - Required:

• Proven experience delivering analytics or data‑centric products to market leveraging SaaS pricing models, particularly with an AI outcome-based focus.
• Strong background in analytics, data platforms, machine learning concepts, and modern cloud architectures.
• Demonstrated ability to lead cross‑functional teams and influence stakeholders across global regions.
• Excellent product management skills, including roadmap ownership, prioritization frameworks, and value‑based analysis.
• Strong analytical, problem‑solving, and communication skills.
• Bachelor's degree in a relevant field; advanced degree preferred.

Knowledge and Experience - Desired:

• Experience with mining operational systems such as fleet management or safety solutions.
• Familiarity with BI and visualization tools (e.g., Tableau) and data discovery workflows.
• Exposure to ML Ops, data governance, and ethical AI practices.
• Experience collaborating with regionally distributed customer‑facing sales and technical teams.
• Background in Agile product delivery methodologies.

Travel:

• Up to 25% global travel.

Additional Information:

Decisions Expected: Own Authority

• Product feature prioritization aligned to strategy, value and monetization delivery.
• Direction of analytics discovery work and prototype execution.
• Review and collaboration with PMO for scope, resources, and timelines for feature delivery.

Referred to Higher Authority

• Major shifts in product strategy with cross‑portfolio impact.
• Budget decisions outside delegated authority.
• Escalations affecting customer commitments or business‑critical deliverables.

• Salary commensurate with experience and work location.
• Other possible locations: Other parts of Canada, Tucson - Arizona, Denver - Colorado.

Hexagon is an Equal Opportunity Employer. We prohibit discrimination against any job applicant based on protected characteristics.