Vice President, Data Delivery and Channels

We’re seeking a future team member for the role of Vice President – Data Delivery and Channels to join our Fund Services Team.
In this role, you will make an impact in the following ways:
The successful candidate will combine deep technical knowledge of data systems with strategic client-facing experience to design scalable solutions that meet complex internal and external data demands.
· Lead the Data Delivery workstream for complex transitions involving Registered Funds, Alternatives, and related asset servicing capabilities.
· Partner with clients and internal teams to analyze existing data structures, reporting outputs, operational workflows, and conversion requirements.
· Drive data mapping from legacy platforms, client files, administrator records, accounting systems, transfer agency systems, reporting platforms, and downstream consumers.
· Lead detailed reporting analysis, including review of current-state reports, future-state reporting needs, data availability, field-level mapping, calculation logic, timing, distribution requirements, and client sign-off.
· Oversee data profiling, gap analysis, field-level lineage, data quality assessment, reconciliation, exception management, and issue resolution.
· Responsible for product management of complex data and reporting projects and programs for new business and existing business.
· Collaborates with internal Key Partners and clients to facilitate the data delivery strategy tailored to client specific requirements, including custom data transformation.
· Drive process improvements and efficiency initiatives within the accounting function, leveraging technology and best practices.
· Work with technology and architecture teams to ensure integration strategies align with internal APIs, data lakes, and cloud-based platforms (AWS, Azure, GCP).
· Continuously grow and develop skills across AI/ML and GenAI and increase business acumen
· Support client onboarding, vendor integrations, and managed service engagements by providing technical specifications and solution architecture for data flows.
· Technical proficiency in tools such as SQL, Python, ETL platforms, API gateways, Snowflake, Databricks, and metadata management platforms.