Lead Data Advisor - Data Platforms

Innovate here. And see your ideas come to life.

It s an exciting time to work in tech at Edward Jones. We are making massive investments in emerging technologies to improve how we work with our clients and with each other. Relationships are the focus of our business model. And working in Technology here means using your skills to build, deliver and maintain the technologies that enable us to deepen and support those relationships.

The best part? We develop and create our own industry-leading solutions internally. And you can be a part of it. Working with emerging new technologies. Creating platforms, programs and experiences that change how we work together - and support our client-first focus. Changing the future of our firm, the industry and the advisor-client relationship.

Position

Schedule:

Full-Time

This job posting is anticipated to remain open for 30 days, from 07-Jan-2026. The posting may close early due to the volume of applicants.

The Data Advisor is a strategic partner and trusted consultant to business leaders and product teams. They translate business outcomes into data and AI opportunities, ensure alignment with the enterprise data strategy, and drive adoption and value realization of AI‑ready data products across structured and unstructured sources. This role blends business acumen, data literacy, and governance expertise to accelerate the responsible use of analytics, ML, and GenAI at scale.

• Business Acumen: Understands P&L drivers, operational metrics, and regulatory context.
• Data & AI Literacy: Deep understanding of data mesh principles – domain-oriented ownership, federated governance, and product thinking for data.
• Grasp of structured/unstructured data, semantic modeling, feature stores, embeddings, and AI patterns (ML, GenAI, RAG).
• Familiarity with distributed data architectures and interoperability standards.
• Influence & Facilitation: Guides diverse stakeholders toward shared outcomes; excellent storytelling.
• Systems Thinking: Connects data contracts, governance, and platform capabilities to end‑to‑end product value.
• Change Leadership: Drives adoption through enablement, communications, and champions networks.
• Integrity & Judgment: Applies responsible AI and policy principles; manages sensitive data thoughtfully.

Edward Jones s compensation and benefits package includes medical and prescription drug, dental, vision, voluntary benefits (such as accident, hospital indemnity, and critical illness), short- and long-term disability, basic life, and basic AD&D coverage. Short- and long-term disability, basic life, and basic AD&D coverage are provided at no cost to associates. Edward Jones offers a 401k retirement plan, and tax-advantaged accounts: health savings account, and flexible spending account.

Edward Jones observes ten paid holidays and provides 15 days of vacation for new associates beginning on January 1 of each year, as well as sick time, personal days, and a paid day for volunteerism. Associates may be eligible for bonuses and profit sharing. All associates are eligible for the firm s Employee Assistance Program. For more information on the Benefits available to Edward Jones associates, please visit our benefits page ().

Hiring Minimum: $101,700

Hiring Maximum: $173,200

• 4-7+ years in data/analytics roles (e.g., data product management, analytics consulting, BI, data strategy, or applied AI).
• Proven experience aligning business strategy to data capabilities and delivering measurable outcomes.
• Working understanding of data platforms (lakehouse, ELT/ETL), semantic modeling, BI, and AI concepts (feature stores, embeddings, MLOps, RAG).
• Working knowledge of data governance (privacy, retention, classification) and Responsible AI principles.
• Strong communication, facilitation, and stakeholder management skills; ability to translate technical concepts to business language.

• Experience in Fortune 500/250 or similarly complex environments.
• Domain experience in one or more areas (Finance/Financial Planning, Wealth Management, Sales/Marketing, Customer).
• Familiarity with enterprise BI and AI ecosystems and governance platforms (Databricks,…