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Technical Product Manager
Baxter Planning. Define and own the strategy for creating value from proprietary data assets across internal products and external product opportunities .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in product management with a focus on data strategy, governance, and AI-driven capabilities. Proven ability to translate complex technical concepts into actionable business narratives while driving cross-functional collaboration.
Highest-signal resume keywords
Product Management ExperienceData Governance KnowledgeAPI Design FluencyRoadmap DevelopmentCross-Functional Execution
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ModelingData ArchitectureProduct DiscoveryRequirements DefinitionCompetitive AnalysisAI and ML CapabilitiesData LicensingCloud Data EcosystemsAgile MethodologiesBusiness Acumen
Soft Skills
Strong Communication SkillsNegotiation Skills
Tools & Technologies
JIRAConfluenceSnowflakeDatabricksAWS
Industry Keywords
B2B SaaSData-as-a-ServiceGDPRCCPASupply ChainLogisticsService Parts Planning
Tech Stack
Tools & technologiesAWSCloud
About the role
Key responsibilities & impact- Define and own the strategy for creating value from proprietary data assets across internal products and external product opportunities
- Build and maintain a roadmap linking data platform investment to company goals and business outcomes
- Identify and evaluate data product opportunities using market and competitive landscape input
- Partner with Legal on data rights, customer contracts, and requirements for future data products
- Own discovery and validation for a core reporting and insights product through customer interviews, feedback synthesis, and business requirements definition
- Evaluate competitive offerings to inform positioning, differentiation, and roadmap prioritization
- Translate customer and market insights into prioritized product requirements with Design and Engineering
- Partner with Data Engineering and Data Science on data modeling, structure, governance, quality, reliability, privacy, and regulatory standards
- Connect data foundation teams with downstream product teams by translating technical structure into product and business requirements
- Advise product teams on leveraging governed data for AI-driven capabilities
- Define and manage the roadmap for external data offerings and services from concept through launch
- Support pricing and packaging discussions with GTM and Finance
- Own go-to-market readiness with GTM, Customer Experience, and Legal
- Establish adoption and usage metrics and hold the roadmap accountable
- Coordinate execution across Data Engineering, Product, Design, Legal, and GTM stakeholders
- Translate complex technical concepts into business narratives for executive and customer audiences
- Represent the data platform in cross-functional planning and prioritization forums
Requirements
What you’ll need- 7+ years of product management experience, ideally primary ownership of data, platform, or API products
- Experience managing platform-level products or services consumed by multiple internal or external teams
- Strong technical fluency in data modeling, architecture, and API design conversations with Engineering
- Direct experience owning product discovery, including customer interviews, requirements definition, and competitive analysis
- Working knowledge of data governance and privacy regulations, including GDPR and CCPA
- Proven ability to build and independently execute a roadmap linked to company and business outcomes
- Track record of driving cross-functional execution across engineering, data, legal, and GTM stakeholders with minimal oversight
- Strong business acumen and ability to translate technical capability into a commercial narrative and business case
- Working knowledge of governed/structured data enabling AI and ML-driven product capabilities
- Fluency with AI tools in day-to-day product management work
- Bachelor's degree in Business, Engineering, Computer Science, or another relevant field
- Preferred: exposure to monetizing data assets, including data licensing, data-as-a-service, or paid API/data products
- Preferred: experience in B2B SaaS or platform companies where data was sold or licensed
- Preferred: experience owning data-driven or reporting-heavy products
- Preferred: familiarity with data licensing agreements, contract structures, and pricing models
- Preferred: experience with cloud data lake/warehouse ecosystems such as Snowflake, Databricks, or AWS
- Preferred: supply chain, logistics, or service parts planning domain experience
- Preferred: working knowledge of Agile/SCRUM, JIRA, and Confluence
- Preferred: strong communication and negotiation skills
- Fluency in English
- Must address residency/work permit status in Spain
Benefits
Comp & perks- Excellent benefits
- Exciting and supportive work environment
- Excellent work-life balance
- Flexibility to work from home 1–2 days per week