Remote Solutions Director Jobs
Remote solutions director jobs are open across the U.S. in technology, SaaS, and enterprise software, where distributed teams and remote-first companies regularly hire for this senior-level role. Employers hiring remotely right now include IQVIA, Intercom, and Oscar Management Corporation. Find a role that fits below and apply directly.
Find JobsOverview
Showing 5 of 99+ Remote Solutions Director jobs
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
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.
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
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.
See All 99 Remote Solutions Director Jobs
Find roles that match your experience and apply in just a few clicks.
Find JobsRemote Solutions Director Job Market
Who's Hiring
- IQVIA18
- Intercom3
- Oscar Management Corporation3
- Cvent2
- Tempus2
Top Industries Hiring
- Insurance
- Technology & Software
- Staffing & Recruiting
- Non-Profit & Social Services
- Biotechnology & Pharmaceuticals
What Employers Look For
The qualifications that appear most often in remote solutions director jobs.
- 5 or more years in solutions engineering, pre-sales, or technical account management
- Demonstrated experience managing enterprise accounts and complex sales cycles
- Proficiency with CRM platforms such as Salesforce to manage pipeline and reporting
- Strong presentation and communication skills for executive-level stakeholder audiences
- Bachelor's degree in a technical, business, or related field
- Familiarity with cloud platforms, SaaS architecture, or industry-specific technical environments
Tips for Your Remote Solutions Director Job Search
Apply early to remote roles that fit
Migrate Mate lists remote solutions director openings from across the U.S. in one place, so you can find roles that match your background and apply directly without sorting through mixed results.
Prove async communication in your application
Remote employers screen for written clarity before the first call. Your cover letter and any written responses should demonstrate the same structured, concise communication style you'd use managing a distributed pre-sales team.
Document remote collaboration tools you know
Call out specific platforms you've used to run remote demos, manage stakeholder reviews, or coordinate solutions engineers across time zones. CRM fluency, video conferencing, and project tracking tools all signal remote readiness to hiring managers.
Prepare for asynchronous interview stages
Many remote employers include a written case study, recorded video response, or async technical review before a live call. Treat each stage as a sample of how you'd operate day-to-day on a distributed team, not just a screening hurdle.
Remote Solutions Director Jobs: Frequently Asked Questions
How do I get a remote solutions director job?
Remote solutions director roles go to candidates who can demonstrate self-direction, strong written communication, and the ability to drive complex deals without in-person oversight. Remote employers screen heavily for async collaboration skills, comfort with tools like Slack and CRM platforms, and a proven ability to coordinate cross-functional teams across time zones. Candidates who document outcomes clearly and communicate proactively in writing consistently stand out.
Which companies hire remote solutions directors?
Remote solutions director roles are posted by IQVIA, Intercom, and Oscar Management Corporation and others right now, based on current remote listings on Migrate Mate as of November 2026. Remote-first SaaS companies, enterprise software firms, and distributed technology teams are among the most active employers for this role.
Can you get a remote solutions director job with no experience?
Yes, but remote entry paths are narrower because employers expect you to work independently from day one without on-site mentorship. Smaller remote-first SaaS companies and startups are more open to candidates building toward the role. Showing strong async communication, ownership of past technical or client-facing projects, and familiarity with solutions engineering workflows can open the door when direct experience is limited.
Do you need a degree for remote solutions director jobs?
Not always. Remote employers hiring solutions directors weigh demonstrated results, technical fluency, and client-facing leadership experience heavily alongside formal credentials. Candidates who can show a history of closing complex deals, leading pre-sales teams, or delivering measurable business outcomes often advance without a traditional four-year degree, particularly at remote-first technology companies where output matters more than credentials.
Which industries hire the most remote solutions directors?
Remote solutions director roles concentrate in Insurance, Technology & Software, and Staffing & Recruiting, based on current remote listings on Migrate Mate as of November 2026. These sectors rely on distributed teams to serve enterprise clients across multiple regions, making the solutions director role a natural fit for remote work arrangements.
See All 99 Remote Solutions Director Jobs
Find roles that match your experience and apply in just a few clicks.
Find Jobs