VP, Data Architecture

Advisor Group•Atlanta, GA

1d•$200,000 - $230,000•Hybrid

About The Position

Osaic is seeking a VP, Data Architecture to contribute to the firm’s enterprise data strategy, striking the critical balance between being a core technical architect and a business leader who can 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 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 work closely with the Data Governance Committee and Osaic’s Chief Data and Analytics Officer to embed governance into business, compliance, and operational practices. This is a rare opportunity to shape the entire data backbone of one of the nation’s largest wealth management platforms. You will modernize a multi-layered enterprise data ecosystem, establish the governance framework for trusted and compliant data, and directly impact advisor productivity, payout accuracy, and client transparency. This role blends technical change leadership with business impact, ensuring data becomes a strategic asset powering Osaic’s growth.

Requirements

15+ years leading enterprise data programs supporting multi-clearing broker-dealer ecosystems, with at least 5 years at the 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.

Responsibilities

Own the enterprise data architecture blueprint across operational, analytical, and distribution layers.
Partner with Osaic’s Chief Data and Analytics Officer and across business and technology teams to establish stewardship, cataloging, lineage, and quality frameworks.
Collaborate with the Data Governance Committee to operationalize governance across ingestion, transformation, and distribution processes.
Partner with business leaders in Finance, Compensation, Operations, and Advisor Experience to translate metrics into trusted, governed data sources.
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.
Work closely with the Data Governance Committee to define and enforce 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.
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.
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.
Participate in 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.