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Leads enterprise data stewardship across Technology and Operations, establishing ownership, governance, quality standards, metadata, lineage, controls, and data product practices. Partners with senior business, product, and engineering leaders to scale governance operating models, resolve data risks, manage Data Marketplace onboarding and lifecycle processes, and drive organizational accountability. Mentors federated data stewards and represents data interests in enterprise governance, regulatory, and data strategy initiatives.

Establish and scale data stewardship across Technology and Operations by driving data ownership, governance, metadata, lineage, quality standards, and accountability. Support data product onboarding and lifecycle management within the Data Marketplace, monitor quality metrics, resolve governance gaps and data risks, and collaborate with business, product, engineering, and domain teams to deliver trusted, discoverable, reusable, and AI-ready data products.

Lead Preqin’s business development and growth strategy across the Nordic region. Own the complete enterprise sales lifecycle, generate subscription revenue, build pipeline, expand existing accounts, and engage senior decision-makers across financial services and private markets. Develop relationships with institutional investors, asset managers, wealth platforms, banks, consultants, and service providers. Deliver proposals and product demonstrations, represent Preqin at industry events, and collaborate with BlackRock and Aladdin teams to identify joint opportunities.

Lead product marketing for Aladdin Trading’s order and execution management platform. Responsibilities include positioning, technical storytelling, market and competitive insights, value proposition development, go-to-market strategy, product launches, adoption programs, sales enablement, client engagement, and thought leadership. The role partners with product, engineering, design, sales, and ecosystem teams to drive client usage and commercial impact.

Lead and contribute to building scalable, production-grade data systems for private markets. Architect end-to-end data workflows supporting analytics and AI/ML, ensure observability, testing, and operational maturity, influence technical strategy, engage senior stakeholders, and manage and mentor software engineers while partnering with product, data science, and business teams.