Jobs in the United States

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Added 2 mins ago
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Startup Automation Engineer
Bechtel
Reston, VA
- $84,600 to $122,400 USD / year
Salary Range: $84,600 - $122,400 annually (salary range is based on market data; final salary offered is determined by education, experience, and qualifications of the applicant.)
Added 3 mins ago
Applications Engineer
RED Group
Carrollton, TX
We are looking for an Applications Engineer to join our team in a hybrid role and based from our North Texas, TX office. The ideal candidate will also have strong technical background in…
Added 6 mins ago
Senior Autonomy Validation Engineer
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Added 7 mins ago
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New York, NY
- $216,000 to $250,000 USD / year
Candidates must be based in New York or able to relocate from their first day.
Added 7 mins ago
Start-up Field Engineer - North Slope, AK - Rotational
NANA Worley
Remote, United States
As such, the position is based in North Slope Alaska with a 12-hour shift, 2-week rotational schedule
Added 8 mins ago
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Senior Software Engineer - Infrastructure Security Platform
ATOMS Careers page
Seattle, WA
- $167,000 to $230,000 USD / year
Build and improve the security platform that protects our products and customer data, including identity, access management, and data compliance.
Added 11 mins ago
Senior AI & Automation Engineer
AustralianSuper
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Reporting to the Senior Manager Technology, Americas, the Senior AI & Automation Engineer (Agentic) is a senior hands-on technical specialist responsible for designing, developing,…
Added 11 mins ago
A
Senior Software Engineer - Infrastructure Security Platform
Atoms
Seattle, WA
- $167,000 to $230,000 USD / year
Build and improve the security platform that protects our products and customer data, including identity, access management, and data compliance.
Added 12 mins ago
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Added 13 mins ago
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We're looking for a Senior Quality Assurance Engineer to drive software quality, strengthen test automation, and improve testing practices throughout the software development lifecycle. In…
Added 13 mins ago
Software Engineer - Limited Tenure - Hybrid
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Added 13 mins ago
6624 - CQV Engineer
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Added 14 mins ago
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Added 16 mins ago
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Added 16 mins ago
Business Security Consultant (CNAPP)
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Must possess excellent communication, presentation, and collaboration skills
Added 16 mins ago
Client Technology - Senior Software Engineering with AI Capabilities
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Develops strong working relationships with peers across Development & Engineering and Architecture teams, collaborating to develop and engineer leading solutions
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Associate Director Cybersecurity Engineering
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We are seeking a Cloud Security Engineer to design, implement, and automate security controls across enterprise cloud environments. This role will partner with our Cloud, Application,…
Added 16 mins ago
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Senior Network Engineer - DDoS
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Madison, WI
- $112,500 to $202,500 USD / year
As a Senior Network Engineer, you will lead efforts in designing, implementing, and automating Akamai's global network infrastructure. You will address complex issues in routing, data…
Added 16 mins ago
Senior Software Engineer
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Madison, WI
Architect and implement high-performance and data pipelines that support critical business functions.
Added 16 mins ago
Senior Manager, Knowledge & Context Architecture
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Working knowledge of Python or another language used for data engineering, automation or analytics.
Added 17 mins ago
AI Native Cloud and Platform Architect - Senior Manager
EY
Madison, WI · Milwaukee, WI
To qualify you must have
Added 17 mins ago
Cloud Engineer and Site Reliability (SME) - Senior Manager
EY
Milwaukee, WI · Madison, WI
To qualify you must have
Added 17 mins ago
Data Engineer Consultant
BLUE SHIELD OF CALIFORNIA
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Added 17 mins ago
Applied AI Health System Engineer [Health Services-Provider] – Senior Manager
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What You Must Have
Added 17 mins ago
Hvac Building Engineer
NORTHWESTERN MUTUAL LIFE INSURANCE
MILWAUKEE, WI
…environment for employees, visitors, property, and critical data center operations. This role partners with internal teams, service contractors, and external vendors to address system…

Ascensus LLC

Director, Data Solutions

Remote, United States

Apply on ascensushr.wd1.myworkdayjobs.com About employer

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Job details

Posting language: English
Posted: Nov 11, 2026

Original job description

Section 1: Position Summary

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.

Section 2: Job Functions, Essential Duties and Responsibilities

Data Architecture & Technical Direction: Define the target architecture for our shared data environment, including the layered (medallion) structure, semantic models and reporting layers, working with Technology and enterprise architecture. Set standards for pipeline design, source control, testing, deployment and documentation, and hold the team to them.
Connected Data Sets & Integration: Build the integrated data sets that join sources across the enterprise. Near-term priorities include client interactions, book of business, customer experience and behavioral trends, and product and partner definitions with a reliable source of truth. Deliver the shared client-interaction source covering digital, workflows, interactions and sentiment, and the advisor data pipeline connecting core platform data with CRM sales activity.
Process Efficiency & Automation: Automate the manual, repetitive reporting and data preparation work that consumes capacity today. Track cycle time and manual touchpoints on recurring deliverables and reduce both.
Data Products & Roadmap: Work with the data product owner to maintain a prioritized data roadmap tied to analytics and business priorities. Build data sets once, document them, assign owners, and make them reusable across teams instead of rebuilt per project.
Data Quality & Governance: Establish a single source of truth for enterprise reporting and client insight. Maintain enterprise data definitions so key terms mean the same thing across lines of business. Run data quality audits, and identify gaps in foundational systems that block enterprise-wide reporting and cross-sell insight.
AI & Advanced Analytics Enablement: Structure and govern data to support predictive and propensity modeling and emerging agentic workflows, working with data science and analytics early enough that the foundation is ready when the models are.
Technology Partnership: Act as the main point of coordination with Technology on data priorities, platform upgrades and the ongoing support model. Represent Data & Analytics requirements in architectural review and influence decisions so solutions stay consistent and scalable across teams.
Team Leadership & Development: Lead, coach and develop a team spanning data engineering, data product management and business analysis. Set clear expectations for engineering discipline and delivery, mentor through code and design review, and build the bench as the function grows.
Stakeholder Communication: Explain technical constraints and trade-offs in plain business terms to analytics leaders, business stakeholders and executives, and communicate status, dependencies and risk early.

General

Proactively adopt, protect and boldly embrace emerging technologies (AI, automation, etc.), platforms, and evolving practices that accelerate transformational growth and advance Ascensus’ mission and client commitments.
Responsible for protecting, securing, and proper handling of all confidential data held by Ascensus to ensure against unauthorized access, improper transmission, and/or unapproved disclosure of information that could result in harm to Ascensus or our clients.
At Ascensus we are guided by our Core Values of People Matter, Quality First and Integrity Always®. They inspire us every day to prioritize an environment of respect for those we serve and one another and should be visible in your actions on a day-to-day.

Supervision

Direct reports span Data Engineer, Data Product Owner and Business Analyst roles. Team composition and size will flex with business priorities.

Section 3: Experience, Skills, Knowledge Requirements

Leadership & Experience: 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.
Process Ownership: 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.
Technical Expertise: 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.
Systems Analysis & Solution Engineering: Experience designing, developing, testing and administering internal applications and reporting tools, including replacing vendor products where an internal solution serves the business better.
Delivery Discipline: Experience with software development lifecycle methodologies (Agile Scrum, Kanban) using tools such as Azure DevOps or Jira for requirements and delivery management.
AI/ML Readiness: Practical understanding of what predictive, propensity and generative AI use cases require of upstream data, including structure, granularity, freshness, lineage and governance.
Business & Industry Acumen: Retirement, wealth management, asset management, banking or fintech experience preferred. Able to connect data investments to commercial outcomes and explain the value and trade-offs of foundational work to non-technical leaders.
Collaboration & Influence: Proven ability to build working relationships across Technology, Operations, Product and business teams, and to exercise good judgment independently.
Education: 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.

For all virtual remote positions, in order to ensure associates can effectively perform their job duties with no distractions, we require an uninterrupted virtual workspace and there is also an expectation of family care being in place during business hours. Additionally, there is an internet work speed requirement of 25 Mbps or better for individual use. If more than one person is utilizing the same internet connection in the same household or building, then a stronger connection is required. If you are unsure of your internet speed, please check with your service provider. Note: For call center roles specifically, it is a requirement to either hardwire your equipment directly to the internet router or ensure your workstation is in close proximity to the router. Please ensure that you are able to meet these expectations before applying.

We are proud to be an Equal Opportunity Employer

Be aware of employment fraud. All email communications from Ascensus or its hiring managers originate from @ascensus.com or @futureplan.com email addresses. We will never ask you for payment or require you to purchase any equipment. If you are suspicious or unsure about validity of a job posting, we strongly encourage you to apply directly through our website.

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Jobs in the United States