[Hiring] Director, Data Solutions @Ascensus

Role Description

The Director, Data Solutions leads the data foundation for Ascensus Data & Analytics: the architecture, engineering, integration and quality work that enterprise reporting, client-experience analytics and predictive modeling all depend on. The role is accountable for connecting disparate source systems into a connected intelligence layer, so insight can be drawn across the enterprise rather than one system at a time, and so analytics teams build on trusted data instead of assembling it themselves.

The Director reports to the Senior Vice President, Data & Analytics and leads a team spanning data engineering, data product management and business analysis. The role works closely with Technology on data priorities, pipeline delivery and platform standards, starting with the Retirement business line, and with analytics leaders and business stakeholders on sequencing what gets built first.

Qualifications

• 10+ years in financial services in data engineering, data management, business intelligence or systems analysis, including at least three years managing a data or reporting team.
• Experience owning a recurring, deadline-driven data production cycle, such as regulatory reporting, capital planning or stress testing submissions, financial close or executive reporting, with responsibility for streamlining it over successive cycles.
• Strong SQL, including optimization of complex queries and tuning of stored procedures.
• Proficiency in ETL/ELT and pipeline design, dimensional and semantic modeling, and modern cloud data platforms.
• Experience with layered data architectures, data lineage and data quality tooling.
• Working familiarity with the Microsoft data stack in use at Ascensus (SQL Server, SSIS, SSAS, Power BI semantic models) is strongly preferred.
• Experience designing, developing, testing and administering internal applications and reporting tools, including replacing vendor products where an internal solution serves the business better.
• Experience with software development lifecycle methodologies (Agile Scrum, Kanban) using tools such as Azure DevOps or Jira for requirements and delivery management.
• Practical understanding of what predictive, propensity and generative AI use cases require of upstream data, including structure, granularity, freshness, lineage and governance.
• Retirement, wealth management, asset management, banking or fintech experience preferred.
• Bachelor’s degree in Computer Science, Information Systems, Engineering, Finance or a related field required, or equivalent work experience. Advanced degree or relevant data platform certifications preferred.

Requirements

• Build the integrated data sets that join sources across the enterprise.
• Deliver the shared client-interaction source covering digital, workflows, interactions and sentiment.
• Automate the manual, repetitive reporting and data preparation work that consumes capacity today.
• Work with the data product owner to maintain a prioritized data roadmap tied to analytics and business priorities.
• Establish a single source of truth for enterprise reporting and client insight.
• Run data quality audits, and identify gaps in foundational systems that block enterprise-wide reporting and cross-sell insight.
• Act as the main point of coordination with Technology on data priorities, platform upgrades and the ongoing support model.
• Lead, coach and develop a team spanning data engineering, data product management and business analysis.
• Explain technical constraints and trade-offs in plain business terms to analytics leaders, business stakeholders and executives.
• Proactively adopt, protect and boldly embrace emerging technologies (AI, automation, etc.), platforms, and evolving practices.
• Responsible for protecting, securing, and proper handling of all confidential data held by Ascensus.

Benefits

• Equal Opportunity Employer.
• Support for virtual remote positions, including internet speed requirements and workspace expectations.