Director, Data Solutions

Ascensus

. Lead the data foundation for Ascensus Data & Analytics, including architecture, engineering, integration and quality .

Posted 11/11/2026full-timeRemote • United StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data engineering, architecture, and management within financial services, with a strong focus on SQL optimization, ETL/ELT processes, and cloud data platforms. Proven ability to lead teams, manage data production cycles, and ensure data quality while collaborating across various business functions.

Highest-signal resume keywords

Data Engineering LeadershipSQL OptimizationETL/ELT Pipeline DesignData Quality AuditingAgile Scrum Methodologies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLETLELTDimensional ModelingSemantic ModelingData LineageData Quality ToolingData ArchitectureData IntegrationData Governance

Soft Skills

Relationship BuildingJudgmentCommunication

Tools & Technologies

SQL ServerSSISSSASPower BIAzure DevOpsJira

Industry Keywords

Financial ServicesData ManagementBusiness IntelligenceSystems AnalysisData Production Cycle

Tech Stack

Tools & technologies

AzureCloudETLSQLSSIS

About the role

Key responsibilities & impact

Lead the data foundation for Ascensus Data & Analytics, including architecture, engineering, integration and quality
Connect disparate source systems into an enterprise connected intelligence layer
Report to the Senior Vice President, Data & Analytics
Lead a team spanning data engineering, data product management and business analysis
Define the target architecture for the shared data environment, including layered medallion structure, semantic models and reporting layers
Set standards for pipeline design, source control, testing, deployment and documentation
Build integrated enterprise data sets and reliable sources of truth
Deliver shared client-interaction and advisor data pipelines
Automate manual reporting and data preparation work and reduce cycle time and manual touchpoints
Maintain a prioritized data roadmap tied to analytics and business priorities
Establish enterprise data definitions and run data quality audits
Structure and govern data for predictive, propensity and agentic AI workflows
Coordinate with Technology on data priorities, platform upgrades and support models
Represent Data & Analytics requirements in architectural reviews
Lead, coach and develop data engineering, data product management and business analysis staff
Communicate technical constraints, trade-offs, status, dependencies and risks to stakeholders and executives
Protect and properly handle confidential Ascensus data

Requirements

What you’ll need

10+ years in financial services in data engineering, data management, business intelligence or systems analysis
At least three years managing a data or reporting team
Experience owning a recurring, deadline-driven data production cycle
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 SQL Server, SSIS, SSAS and Power BI semantic models strongly preferred
Experience designing, developing, testing and administering internal applications and reporting tools
Experience 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
Bachelor’s degree in Computer Science, Information Systems, Engineering, Finance or a related field required, or equivalent work experience
Ability to build relationships across Technology, Operations, Product and business teams
Ability to exercise good judgment independently
Uninterrupted virtual workspace, family care during business hours and internet speed of at least 25 Mbps for virtual remote positions

Benefits

Comp & perks

Virtual remote positions require an uninterrupted virtual workspace
Family care is expected to be in place during business hours
Internet work speed requirement of 25 Mbps or better for individual use
Stronger internet connection required if more than one person shares the connection
Equal Opportunity Employer