Director, Data Solutions

This is a fully remote position, open to applicants in North Carolina, +1 more state.

📋 Description

• Oversee the data foundation for Ascensus Data & Analytics, which encompasses architecture, engineering, integration, and quality.

• Integrate various source systems into a cohesive enterprise intelligence layer.

• Report directly to the Senior Vice President of Data & Analytics.

• Manage a team that includes data engineering, data product management, and business analysis.

• Define the target architecture for the shared data environment, incorporating layered medallion structures, semantic models, and reporting layers.

• Establish standards for pipeline design, source control, testing, deployment, and documentation.

• Create integrated enterprise data sets and dependable sources of truth.

• Deliver data pipelines for shared client interactions and advisor engagements.

• Automate manual reporting tasks and data preparation efforts to minimize cycle time and manual interventions.

• Maintain a prioritized data roadmap aligned with analytics and business priorities.

• Develop enterprise data definitions and conduct data quality audits.

• Structure and govern data for predictive, propensity, and agentic AI workflows.

• Collaborate with the Technology team on data priorities, platform upgrades, and support models.

• Represent Data & Analytics requirements during architectural reviews.

• Mentor and develop staff in data engineering, data product management, and business analysis.

• Communicate technical constraints, trade-offs, status updates, dependencies, and risks to stakeholders and executives.

• Safeguard and appropriately manage confidential Ascensus data.

⛳️ Requirements

• Over 10 years of experience in financial services focusing on data engineering, data management, business intelligence, or systems analysis.

• A minimum of three years managing a data or reporting team.

• Proven experience in owning a recurring, deadline-oriented data production cycle.

• Strong skills in SQL, including the optimization of complex queries and tuning stored procedures.

• Proficient in ETL/ELT and pipeline design, as well as dimensional and semantic modeling, along with modern cloud data platforms.

• Experience with layered data architectures, data lineage, and data quality tools.

• Working knowledge of SQL Server, SSIS, SSAS, and Power BI semantic models is highly preferred.

• Background in designing, developing, testing, and administering internal applications and reporting tools.

• Familiarity with software development lifecycle methodologies, including Agile Scrum and Kanban.

• Experience using Azure DevOps or Jira for requirements and delivery management.

• Practical understanding of upstream data requirements for predictive, propensity, and generative AI use cases.

• A Bachelor’s degree in Computer Science, Information Systems, Engineering, Finance, or a related field is required, or equivalent work experience.

• Ability to cultivate relationships across Technology, Operations, Product, and business teams.

• Capacity to exercise sound judgment independently.

• An uninterrupted virtual workspace, family care during business hours, and a minimum internet speed of 25 Mbps are necessary for virtual remote positions.

🏝️ Benefits

• Virtual remote positions necessitate an uninterrupted virtual workspace.

• Family care should be arranged during business hours.

• An internet speed requirement of at least 25 Mbps for individual use is mandated.

• A stronger internet connection is needed if multiple users share the connection.

• We are an Equal Opportunity Employer.