Data Partner Manager

Role Overview

Partner Acquisition

• Identify and recruit spatial data providers across geospatial, mobility, demographic, satellite-derived, environmental, POI, and property data.
• Lead recruitment from outreach through negotiation and contract execution.
• Structure platform credit commitments, overage rates, customer credit distribution, and dataset DTC pricing.
• Build business cases covering platform credit ROI, DTC revenue potential, and customer distribution opportunities.

Registered Customer Co-Sell

• Co-sell alongside data providers to bring their existing customers onto BigGeo as registered users.
• Help partners explain platform credits, spatial workflows, and paths to first value.
• Develop partner onboarding materials, credit allocation strategies, and customer success frameworks.
• Track activation and consumption and address underleveraged credit allocations.

Partner Relationship Management

• Serve as the primary commercial relationship for each partner after launch.
• Monitor platform credit consumption and DTC revenue performance and address underperformance.
• Coordinate with Enterprise Sales to prioritize recruitment based on customer demand.
• Provide partner and customer feedback to Product and Engineering to influence roadmap discussions.

Required Qualifications

• At least 5 years of experience in partner development, data commercialization, marketplace sales, or enterprise business development.
• Experience managing a full commercial sales cycle from prospecting through contract close and post-close relationship management.
• Experience with marketplace, partner, or data distribution models, including provider sales and co-selling.
• Comfort working with technical concepts and understanding dataset value for enterprise customers.
• High autonomy, self-direction, and excellent commercial communication are required.

Preferred Experience

• Experience in data, geospatial, infrastructure, SaaS, or adjacent domains is a strong plus.

AI Workflow Expectations

• Use advanced AI tools such as Claude and ChatGPT to analyze usage data, prepare business reviews, draft communications, synthesize feedback, and automate repetitive work.
• Use AI-driven workflows across systems such as Monday.com, Slack, and Google Workspace and share effective practices with the team.

Collaboration and Success

• Work cross-functionally with Account Executives, Solutions Engineers, Product, Engineering, Marketing, and Leadership.
• Lead with clarity, take ownership of assigned accounts, act as a trusted advisor, and represent partners internally.
• Within the first 90 days, establish partner health plans, identify expansion opportunities, drive adoption, and deliver structured product feedback.
• Over time, retain and expand referenceable partners and document playbooks used by the Customer Success team.

Work Environment

• BigGeo operates as an in-office team from its Calgary office.
• The company describes collaboration as in-person by default, with direct communication, selective asynchronous work, and tight cross-functional feedback loops.