Osaic
Overview
Osaic is seeking a Vice President of Data Architecture & Standards to lead the firm's enterprise data strategy, striking the critical balance between being a core technical architect and a business leader ready to run and operationalize governance at scale. This role will ensure that Osaic's data - spanning Compensation & Revenue, Investors/Households, Advisors/Practices, Accounts, Asset Positions & Flows, and Client Performance - is trusted, accessible, and strategically enabling across the Independent Broker-Dealer (IBD) and RIA business lines. The VP will design and scale Osaic's entire data ecosystem, which consists of multiple transactional data stores, a single operational data store, and a single cloud-based data warehouse capable of hosting both structured and unstructured data. This leader will also oversee ingestion from custodians and platforms (PershingX, NFS, Fidelity, Schwab) and establish a governance program that aligns with compliance, finance, operations, and advisor experience. Responsibilities
Strategic Leadership Own the enterprise data architecture blueprint across operational, analytical, and distribution layers.
Build and lead Osaic's data governance program, including stewardship, cataloging, lineage, and quality frameworks.
Partner with business leaders in Finance, Compensation, Operations, and Advisor Experience to translate metrics into trusted, governed data sources.
Architecture & Technology Architect and scale Osaic's entire data ecosystem, which consists of multiple transactional data stores, a single operational data store, and a single cloud-based data warehouse capable of hosting both structured and unstructured data.
Oversee data ingestion pipelines from custodians and platforms (PershingX, NFS, Fidelity, Schwab).
Enable secure, efficient data distribution through APIs and data-as-a-service models.
Ensure high performance, scalability, and cost optimization across the full data ecosystem.
Establish data observability, monitoring, and lineage to guarantee trust and transparency.
Governance & Compliance Chair Osaic's Data Governance Council, aligning executives, stewards, and business owners.
Define and enforce data ownership, classification, retention, and access policies.
Embed governance into ingestion, transformation, and distribution processes.
Ensure compliance with FINRA, SEC, Reg BI, and data privacy regulations.
Business Alignment Ensure accurate, reconciled data is available across the advisor and client lifecycle - from client acquisition and onboarding through analysis, business processing, client service, compliance, and practice management, all the way to advisor acquisition and recruiting.
Provide trusted data to support compensation calculations, revenue reporting, advisor hierarchy, and enterprise AUA transparency.
Deliver advisor- and practice-level insights that improve retention, growth, and recruiting effectiveness.
Leadership & Influence Operate in a matrixed model, influencing without direct line authority; coach domain stewards and partner teams (platform, data engineering, product) to land decisions and standards.
Facilitate Data Governance Council and Architecture Review Board working sessions; drive decision logs, follow-through, and measured outcomes.
Establish standards, playbooks, and reference architectures; run a Data Architecture Community of Practice.
Publish data quality/observability scorecards (freshness, completeness, lineage coverage, SLA adherence) and drive remediation via accountable owners.
Drive a data-first culture, fostering accountability and stewardship across the firm.
Education Requirements: Bachelor's degree required, or foreign equivalent, in computer science or related field, or compensating industry experience may be considered.
Basic Requirements: 15+ years in data architecture, governance, and management roles; 5+ years at VP/SVP level.
Deep understanding of IBD/RIA ecosystems, custodians, and advisor data flows.
Proven experience with custodian data models (Pershing, NFS, Fidelity, Schwab).
Expertise in architecting and managing enterprise-scale data ecosystems that include: Multiple transactional data stores
Operational Data Stores (ODS)
Cloud-based data warehouses (supporting structured and unstructured data)
Hands-on experience with Snowflake and similar modern cloud data technologies (e.g., Redshift, BigQuery, Databricks).
Strong background in data ingestion pipelines, APIs, and secure data distribution frameworks.
Demonstrated knowledge of financial metrics (AUA, revenue, compensation, payout).
Hands-on leadership in data governance, lineage, cataloging, and data quality frameworks.
Proven ability to influence cross-functional teams in a matrixed environment.
Excellent communication skills; able to bridge business, technology, and compliance needs
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Osaic is seeking a Vice President of Data Architecture & Standards to lead the firm's enterprise data strategy, striking the critical balance between being a core technical architect and a business leader ready to run and operationalize governance at scale. This role will ensure that Osaic's data - spanning Compensation & Revenue, Investors/Households, Advisors/Practices, Accounts, Asset Positions & Flows, and Client Performance - is trusted, accessible, and strategically enabling across the Independent Broker-Dealer (IBD) and RIA business lines. The VP will design and scale Osaic's entire data ecosystem, which consists of multiple transactional data stores, a single operational data store, and a single cloud-based data warehouse capable of hosting both structured and unstructured data. This leader will also oversee ingestion from custodians and platforms (PershingX, NFS, Fidelity, Schwab) and establish a governance program that aligns with compliance, finance, operations, and advisor experience. Responsibilities
Strategic Leadership Own the enterprise data architecture blueprint across operational, analytical, and distribution layers.
Build and lead Osaic's data governance program, including stewardship, cataloging, lineage, and quality frameworks.
Partner with business leaders in Finance, Compensation, Operations, and Advisor Experience to translate metrics into trusted, governed data sources.
Architecture & Technology Architect and scale Osaic's entire data ecosystem, which consists of multiple transactional data stores, a single operational data store, and a single cloud-based data warehouse capable of hosting both structured and unstructured data.
Oversee data ingestion pipelines from custodians and platforms (PershingX, NFS, Fidelity, Schwab).
Enable secure, efficient data distribution through APIs and data-as-a-service models.
Ensure high performance, scalability, and cost optimization across the full data ecosystem.
Establish data observability, monitoring, and lineage to guarantee trust and transparency.
Governance & Compliance Chair Osaic's Data Governance Council, aligning executives, stewards, and business owners.
Define and enforce data ownership, classification, retention, and access policies.
Embed governance into ingestion, transformation, and distribution processes.
Ensure compliance with FINRA, SEC, Reg BI, and data privacy regulations.
Business Alignment Ensure accurate, reconciled data is available across the advisor and client lifecycle - from client acquisition and onboarding through analysis, business processing, client service, compliance, and practice management, all the way to advisor acquisition and recruiting.
Provide trusted data to support compensation calculations, revenue reporting, advisor hierarchy, and enterprise AUA transparency.
Deliver advisor- and practice-level insights that improve retention, growth, and recruiting effectiveness.
Leadership & Influence Operate in a matrixed model, influencing without direct line authority; coach domain stewards and partner teams (platform, data engineering, product) to land decisions and standards.
Facilitate Data Governance Council and Architecture Review Board working sessions; drive decision logs, follow-through, and measured outcomes.
Establish standards, playbooks, and reference architectures; run a Data Architecture Community of Practice.
Publish data quality/observability scorecards (freshness, completeness, lineage coverage, SLA adherence) and drive remediation via accountable owners.
Drive a data-first culture, fostering accountability and stewardship across the firm.
Education Requirements: Bachelor's degree required, or foreign equivalent, in computer science or related field, or compensating industry experience may be considered.
Basic Requirements: 15+ years in data architecture, governance, and management roles; 5+ years at VP/SVP level.
Deep understanding of IBD/RIA ecosystems, custodians, and advisor data flows.
Proven experience with custodian data models (Pershing, NFS, Fidelity, Schwab).
Expertise in architecting and managing enterprise-scale data ecosystems that include: Multiple transactional data stores
Operational Data Stores (ODS)
Cloud-based data warehouses (supporting structured and unstructured data)
Hands-on experience with Snowflake and similar modern cloud data technologies (e.g., Redshift, BigQuery, Databricks).
Strong background in data ingestion pipelines, APIs, and secure data distribution frameworks.
Demonstrated knowledge of financial metrics (AUA, revenue, compensation, payout).
Hands-on leadership in data governance, lineage, cataloging, and data quality frameworks.
Proven ability to influence cross-functional teams in a matrixed environment.
Excellent communication skills; able to bridge business, technology, and compliance needs
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