This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
As Director of Product Strategy and Partner Ecosystem, you will sit at the intersection of Teradata's most consequential decisions—shaping what we build, what we acquire, and who we partner with to win in the market. This is a high-visibility, high-impact role for someone who thrives on complexity and wants to leave a lasting mark on an enterprise data platform trusted by the world's largest companies.
Job Responsibility
Conduct deep research with Product Management and Product Engineering colleagues on potential new ISVs and partnerships
Drive analysis and decision making of Build vs. Buy vs. Partner for ISV partner capabilities across a wide breadth of sources of insight
construct and report to senior leadership comprehensive analysis and clear recommendations
Lead onboarding and contracting for new OEM ISVs w/Product functions (OEM, white label, acquire) and across the breadth of back-end systems and teams (Pricing, GTM, IT, CISO, Support, Cloud Operations, Selling & Operational Enablement, Procurement, etc.)
Lead cross-functional cadence of input and review of new partner intake, joint partner build, OEM partner health across Teradata, Product org, and with key partners over the entire OEM partner lifecycle
Report on progress on partner intake, partner health, joint build, adoption, monetization across the portfolio of OEM partnerships
Lead or support CSP and ISV contract negotiations from the Product organization
Lead Product org for organizing periodic partner Executive Briefings and joint technical workshops
Support Product org readiness and contribution for major partner and Teradata conferences and events
Lead the evaluation and prioritization of partner integrations across the product portfolio in deep collaboration with Engineering and the Alliance
Lead or support Services feedback loops, particularly for Forward Deployed Engineering, accelerating time to value to customers on new product features
Build a trusted cadence with Partner Alliance, GTM, PM/Engineering counterparts, Services
document decisions, timelines, and deliverables
ensure mutual value realization for each team
Requirements
10+ years of experience in product strategy, partner/ecosystem management, corporate development, or management consulting, ideally within enterprise software or cloud technology
Demonstrated ability to lead Build vs. Buy vs. Partner analyses and translate outcomes into executive-level recommendations
Proven experience structuring and managing OEM or ISV partnerships end-to-end, from evaluation through contracting, onboarding, and lifecycle health
Track record of driving cross-functional alignment and execution without direct organizational authority, across Product, Engineering, Legal, Finance, and GTM teams
Strong executive communication skills—comfortable presenting complex, ambiguous situations as clear recommendations to C-suite and board-level audiences
Financial modeling and business case development for strategic planning, Long Range Planning, product monetization forecasting, and M&A or partnership evaluation
Experience supporting or leading contract negotiations with ISVs, CSPs, or strategic technology partners
High comfort operating in ambiguous, fast-moving environments with multiple competing priorities and limited direct authority
Nice to have
Background in data analytics, cloud data platforms, or enterprise SaaS—direct experience with a data warehouse or analytics vendor is a significant plus
Familiarity with the AI/ML and GenAI vendor ecosystem—LLM infrastructure, AI tooling, or model serving platforms
Experience navigating hyperscaler partner programs (AWS, Microsoft Azure, Google Cloud) from a product or alliance perspective
Exposure to regulated industry or sovereign cloud deployments, including compliance considerations relevant to DORA, NIS2, or public sector data requirements
MBA or equivalent advanced degree in Business, Finance, Engineering, or Computer Science
Prior involvement in a formal M&A process—target identification, diligence coordination, or post-merger integration planning