Head of Data Partnerships

Alloy.ai

. Own the data partnership business end-to-end, including strategy, pipeline, deal structure, contracts, partner enablement, and product and operating changes .

Posted 10/15/2026full-timeDenver • Colorado • United StatesLead💰 $175,000 - $225,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in managing data partnerships, including strategy development, deal structuring, and partner enablement. Proficient in building relationships with CPGs and leading cross-functional initiatives to drive revenue and customer activation.

Highest-signal resume keywords

Data Partnership ManagementDeal StructuringCross-Functional LeadershipPricing Model DevelopmentCPG Industry Experience

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Business DevelopmentContract NegotiationRevenue ResponsibilityData Rights ManagementPartner Program DevelopmentTechnical Concepts UnderstandingPOS FeedsSnowflakeGoal SettingMetrics Management

Soft Skills

Clear Written CommunicationRelationship BuildingTraining and Enablement

Industry Keywords

Consumer Packaged GoodsRetail DataData Licensing AgreementsStartup ExperienceMarket Entry

About the role

Key responsibilities & impact

Own the data partnership business end-to-end, including strategy, pipeline, deal structure, contracts, partner enablement, and product and operating changes
Report to the CEO
Triage inbound partner opportunities
Build target lists, conduct outbound outreach, engage partner leadership, and close new partners
Develop partner relationships and foster introductions to CPGs
Train partner sales teams and provide pitch and pricing tools
Join early partner deals and run co-marketing activities with Marketing
Set and review goals for sourced customers and revenue
Work with Implementation to move partner customers from signed agreements to live data quickly
Create and refine partner activation best-practice documentation
Identify product and engineering gaps that slow partner volume and provide business cases
Select target partner segments
Own channel pricing and packaging, including partner margin, historical data, location-level access, and direct-relationship rules
Standardize partner agreements, order forms, and end-user terms
Define data-use permissions, accountability metrics, retailer compliance, support responsibilities, and rules of engagement with direct sales
Manage the business using partner-sourced ARR, time to activation, retention, and partner productivity metrics

Requirements

What you’ll need

2 to 6 years of experience
Experience in a commercial role where you personally won business, such as startup business development or partnerships, a GM or business operations role with revenue responsibility, or founding a company
Ability to identify deals and partners personally sourced and closed
Experience building something from zero, such as a new business line, program, market entry, or company
Experience structuring complicated deals and negotiating contracts involving revenue share, data rights, exclusivity, and usage limits
Ability to build pricing models
Comfort with data and technical concepts, including POS feeds and data sharing into Snowflake
Ability to lead cross-functionally without direct authority
Clear written communication skills
Experience building or running a partner, channel, or reseller program, or negotiating data licensing agreements (nice to have)
Startup experience (nice to have)
Experience in CPG or retail data, or at a platform serving consumer brands (nice to have)

Benefits

Comp & perks

Inclusive culture and commitment to diversity
Individual ownership and autonomy
Opportunity to build and run a new business line end-to-end
Collaboration with Product, Engineering, Implementation, Finance, and Marketing teams