Manager of Data & Analytics

Mission Wealth Management LP•San Diego, CA

7d•$165,000 - $215,000•Onsite

About The Position

As a Barron’s Top 100 RIA firm and voted Best Places to Work by Fortune, Pacific Coast Business Times, Inc. (Best Workplaces), and Investment News, Mission Wealth is hiring a growth-minded Manager of Data & Analytics to join our award-winning team! If you are ready to elevate your career in a leading wealth management company with a commitment to giving back to the community and expanding nationally, let’s go! As a Manager, Data & Analytics, you would help scale our data platform, strengthen analytics foundations, and deliver production-grade data solutions that enhance advisor productivity, client experiences, and business decision-making. You will serve as a hands-on technical leader and strategic partner to the Director of Data & Analytics, supporting the daily execution and continued professionalization of Mission Wealth’s data ecosystem. You will collaborate closely with Technology, Operations, M&A, Finance, and Advisor teams to understand business needs, design scalable data solutions, and deliver analytics that drive efficiency, accuracy, and insight across the firm. This role requires a mix of data engineering, analytics development, systems thinking, and cross-functional communication. You’ll be instrumental in building and operating a reliable, governed data platform while helping the organization move toward more automated, standardized, and insight-driven workflows using modern data best practices. Mission Wealth has offered 360-degree wealth management services to affluent families since 2000. Our dynamic planning process ensures that every piece of the puzzle is put into place as our clients’ lives unfold and their needs evolve. This gives them the complete picture and confidence in their financial future.

Requirements

Bachelor’s degree in Computer Science, Data Science, Engineering, or related field
5+ years of experience in data engineering, analytics engineering, or analytics-focused roles
Strong hands-on experience with Python-based ETL, batch processing, and orchestration workflows
Advanced SQL skills and experience building analytics-ready data models
Practical experience with Snowflake or a modern cloud data warehouse and data-lake concepts
Understanding of data governance, PII handling, and compliance considerations
Proven ability to operate as a hands-on individual contributor while supporting team growth and scale

Nice To Haves

Experience integrating data from CRM systems, custodians, or financial services platforms preferred
Familiarity with BI tools such as Power BI, Tableau, or Looker

Responsibilities

Design, build, and operate scalable data pipelines and datasets to support analytics and reporting across the firm
Develop and maintain Python-based ETL workflows, batch processing jobs, and orchestration schedules
Support the implementation and ongoing operation of a modern cloud data warehouse (Snowflake preferred)
Integrate data from core systems including Salesforce (Financial Services Cloud), Tamarac, custodians, and financial planning platforms
Partner on M&A onboarding efforts by supporting repeatable data ingestion, validation, and integration processes
Build and maintain analytics-ready data models using SQL and versioned datasets
Deliver dashboards and reports that provide actionable insights for advisors, operators, and leadership
Support BI tools such as Power BI, Tableau, or similar platforms used across the organization
Ensure analytics outputs are accurate, well-documented, and aligned with business definitions
Maintain high data quality standards through validation checks, monitoring, and issue resolution
Partner with Compliance and Technology teams to support data security, PII handling, and retention practices
Help establish foundational data governance practices, including lineage awareness and documentation
Reduce single points of failure by institutionalizing processes, runbooks, and SOPs
Partner with business and technology stakeholders to identify high-impact advisor and operations workflows that can be automated using data-driven triggers, rules, and orchestration (e.g., client onboarding, service requests, referral follow-ups, and M&A data intake).
Build “AI-ready” datasets (clean, labeled, governed, and versioned) that enable scalable use cases like intelligent routing, next-best-action recommendations, and proactive client/advisor insights.
Develop and operationalize automated data-quality monitoring (anomaly detection, reconciliations, completeness checks) with alerting and clear remediation paths to reduce manual oversight and rework.
Support experimentation and deployment of practical AI capabilities—such as natural-language search over firm data, automated narrative summaries for dashboards, and guided insights for advisors—while ensuring appropriate controls for PII and compliance.
Implement workflow automation patterns that connect core systems (Salesforce, Tamarac, custodians, planning tools) to reduce duplicate entry and shorten cycle times, especially during M&A onboarding and post-close integration.
Collaborate with Technology, Operations, Finance, M&A, and Advisor teams to translate business questions into pragmatic data solutions
Act as a hands-on operator in the data environment while contributing to prioritization and roadmap discussions
Support vendor and integration partner conversations related to data tooling and analytics platforms
Contribute to experimentation around automation, AI-enabled analytics, and workflow efficiency where appropriate