Lead Data Advisor - Data Platforms
Listed on 2026-01-12
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IT/Tech
Data Analyst, Data Science Manager
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.
Join a financial services firm where your contributions are valued. Edward Jones is a Fortune 500¹ company where people come first. With over 9 million clients and 20,000 financial advisors across the U.S. and Canada, we’re proud to be privately‑owned, placing the focus on our clients rather than shareholder returns.
Behind everything we do is our purpose:
We partner for positive impact to improve the lives of our clients and colleagues, and together, better our communities and society. We are an innovative, flexible, and inclusive organization that attracts, develops, and inspires performance excellence and a sense of belonging.
People are at the center of our partnership. Edward Jones associates are seen, heard, respected, and supported. This is what we believe makes us the best place to start or build your career.
Data AdvisorThe 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.
CoreCompetencies
- 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.
- Deep understanding of data mesh principles
- 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.
** Candidates that live within a commutable distance from our Tempe, AZ and St. Louis, MO home office locations are expected to work in the office three days per week, with preference for Tuesday through Thursday.**
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.
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