6 дней назад
Enterprise Sales Engineer (Investment Data)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Enterprise Sales Engineer (Investment Data): Designing and demonstrating enterprise investment data and intelligence solutions for institutional investors with an accent on data governance, portfolio analytics, cloud data platforms, and operational resilience. Focus on leading complex discovery, building solution architectures across Databricks, Snowflake, and related platforms, and delivering high-stakes proofs of value across Asia-Pacific client engagements.
Location: New York, New York, United States. The role leads engagements across the Asia-Pacific region, with a concentration of clients in ASEAN and Australia.
Company
provides an investment data managed services and investment intelligence platform for institutional investors, asset managers, and financial service providers.
What you will do
- Lead the end-to-end technical sales process for complex enterprise investment data and intelligence engagements.
- Run technical and functional discovery sessions covering data, governance, technology, and investment operating models.
- Design enterprise-grade architectures for multi-asset data, portfolio oversight, rebalancing, performance, risk, attribution, ESG, and regulatory reporting.
- Deliver scenario-driven demonstrations and lead proof-of-concepts that reflect client operating models and measurable business outcomes.
- Shape technical narratives for RFPs, RFIs, executive presentations, Statements of Work, and deal strategy.
- Partner with Professional Services, Product, Engineering, Delivery, Sales, and Marketing teams to ensure effective handover and product feedback.
Requirements
- Strong experience in financial services, investment management, or capital markets.
- Deep knowledge of investment data domains and operational workflows, including pricing, benchmarks, corporate actions, reference data, and analytics.
- Proven experience in pre-sales, solutions engineering, or consulting for enterprise technology or data platforms.
- Ability to communicate complex technical concepts to investment professionals, data engineers, risk and compliance leaders, and technology executives.
- Experience with Asia-Pacific clients, including large asset owners, sovereign wealth funds, and the Australian superannuation industry.
- Familiarity with modern data platforms such as Databricks, Snowflake, cloud data warehouses, and data lakehouse architectures.
Culture & Benefits
- Work with sophisticated asset owners and investment managers at enterprise scale.
- Influence product direction, solution design, and client success.
- Operate in a collaborative, intellectually demanding, and growth-focused environment.
- Contribute to diversity and inclusion initiatives across recruitment, retention, progression, and training.
Hiring process
- Only selected candidates will be contacted for interviews.
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