Director, Enterprise Analytics & Data Products

Job Description Summary

Job Description

Responsibilities

• Own the product vision roadmap prioritization and execution alignment for enterprise analytics AI-enabled data products governed self-service analytics and the enterprise data marketplace.

• Define and drive the data marketplace strategy including product cataloging metadata discoverability access request patterns usage transparency adoption and business value measurement.

• Define and manage the analytics tool capabilities roadmap ensuring platforms tools and user experiences evolve to make data and insights easier to discover access analyze and consume.

• Mature analytics capabilities and operating practices to promote governed intuitive self-service access to trusted data insights dashboards analytics products and AI-enabled decision support.

• Partner with business stakeholders to understand decision-making needs data consumption patterns pain points and opportunities to create reusable data products.

• Translate business needs into clear actionable requirements for data engineering analytics reporting platform governance and AI execution teams.

• Leverage AI to improve data discovery insight generation productivity analytics workflows documentation and user experiences.

• Work with AI data science and technology teams to shape practical AI-enabled capabilities built on trusted enterprise data.

• Promote governed self-service access by ensuring data products are trusted well-defined secure discoverable and easy to consume.

• Partner across business and technology teams to ensure data analytics AI-enabled capabilities and marketplace access patterns are responsibly designed appropriately controlled and aligned to enterprise standards.

• Define success metrics for data products marketplace adoption analytics consumption quality trust reuse business value and stakeholder satisfaction.

• Build trusted relationships with senior business and technology stakeholders and influence priorities across teams.

Required Experience and Qualifications

• 10 years of experience in data analytics business intelligence data products self-service analytics AI-enabled solutions or related disciplines.

• 5 years of leadership experience preferably at Director level or equivalent.

• Strong experience in wealth management brokerage advisory asset management or full-service financial services business with a strong understanding of the key data domains.

• Proven experience leading data and analytics product capabilities such as data products enterprise BI self-service analytics semantic layers reporting platforms or analytics modernization.

• Must have experience with semantic layers including ontology-driven semantic models business-friendly metrics and definitions and knowledge graph concepts that connect data relationships and business context for analytics and AI-enabled consumption.

• Experience shaping or operating a data marketplace data catalog data product catalog governed access model or enterprise data consumption strategy.

• Practical AI fluency including how AI can improve data discovery analytics automation requirements development and business decision support.

• Experience leveraging AI to maximize business value from enterprise data investments including improving data discovery consumption insight generation productivity and adoption of data products.

• Strong understanding of enterprise data platforms data models data quality metadata lineage governance access controls and data consumption patterns.

• Demonstrated ability to translate business needs into actionable requirements for data engineering analytics reporting platform governance and AI delivery teams.

• Strong stakeholder management skills with the ability to influence business and technology teams.

• Ability to operate from vision and roadmap through detailed execution including getting hands-on as needed to analyze and profile data clarify requirements identify solution options and convert business needs into actionable work for technology teams.

Technology Product Domain and Solution Experience

• Wealth management experience: Experience in a full-service wealth management brokerage advisory or asset management business with familiarity across advisor client household account portfolio product transaction performance supervision risk and service data domains.

• Enterprise data platforms experience: Working knowledge of modern enterprise data platforms and patterns such as Snowflake Redshift Data Bricks Data Lakehouses semantic layers with ontology APIs metadata lineage data quality and governed data product architectures.

• Analytics tooling experience: Experience shaping analytics capability roadmaps across tools such as Qlik Tableau ThoughtSpot AWS Sagemaker AWS Bedrock Alteryx Excel-based analytics governed reporting dashboards KPI frameworks metrics layers semantic models and self-service analytics platforms.

• AI-enabled data products and marketplace experience: Experience defining or maturing AI-enabled data products data product catalogs data marketplaces governed access models product onboarding metadata business glossaries certification access workflows usage transparency adoption and value measurement.

• AI fluency: Practical understanding of how AI machine learning generative AI natural language analytics intelligent search AI-assisted insight generation summarization anomaly detection predictive analytics and automation can increase the value and usability of trusted enterprise data.

• Hands-on analysis and profiling: Ability to review data models source tables reports dashboards joins keys grain relationships business rules data quality issues usage patterns and source-to-consumption gaps to validate assumptions and shape solution options.

• Requirements-to-solution translation: Ability to convert business needs into actionable technology deliverables including use cases user stories data requirements analytics requirements access requirements controls acceptance criteria dependencies testing considerations and implementation sequencing.

• Transformation and execution leadership: Experience leading analytics modernization self-service BI transformation data product strategy data marketplace enablement platform adoption operating model change stakeholder engagement executive communication adoption metrics and measurable business value realization.

Education

Work Experience

Certifications

Travel

Workstyle

The total compensation for this position includes base salary or wages and may include components such as additional compensation (cash or equity) discretionary bonuses or commissions. This position is eligible for a benefits package that may include medical dental and vision; life insurance; critical illness insurance and accident insurance; disability benefits; retirement savings; paid time off (including vacation holidays and sick leave); and parental leave. Eligibility for benefits and specific offerings may vary based on position and employment status. To view more details of the benefits offered visit .

At Raymond James our associates use five guiding behaviors (Develop Collaborate Decide Deliver Improve) to deliver on the firms core values of client-first integrity independence and a conservative long-term view.

We expect our associates at all levels to:
Grow professionally and inspire others to do the same
Work with and through others to achieve desired outcomes
Make prompt pragmatic choices and act with the client in mind
Take ownership and hold themselves and others accountable for delivering results that matter
Contribute to the continuous evolution of the firm

At Raymond James as part of our people-first culture we honor value and respect the uniqueness experiences and backgrounds of all of our Associates. When associates bring their best authentic selves our organization clients and communities thrive. The Company is an equal opportunity employer and makes all employment decisions on the basis of merit and business needs.