Lead Data Advisor - Data Platforms

Job Overview

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.
• Data & AI Literacy (continued): 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 champion networks.
• Integrity & Judgment: Applies responsible AI and policy principles; manages sensitive data thoughtfully.

• 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, Azure, vector databases, MCP servers).
• Certifications in data governance, analytics, or AI (e.g., DAMA, Azure, AWS, GCP Data/AI).

Current INTERNAL home-based associates:
While this role is posted as hybrid, if selected and accepted, you may retain your home‑based status. Edward Jones intends in good faith to continue offering the role as home‑based, though future business or regulatory needs may require on‑site work.

Edward Jones’ 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. Edward Jones offers a 401(k) retirement plan and tax-advantaged accounts: health savings account and flexible spending account.

The firm observes ten paid holidays and provides 15 days of vacation for new associates beginning 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 Employee Assistance Program.

Edward Jones does not discriminate on the basis of race, color, gender, religion, national origin, age, disability, sexual orientation, pregnancy, veteran status, genetic information or any other basis prohibited by applicable law.