tax.com

Vice President

• Overseeing the design, implementation, and governance of enterprise data management strategies
• Ensuring high data quality, security, and accessibility across the organization
• Serving as a liaison between business stakeholders and IT
• Mentoring, coaching, and developing team members
• Leading cross-functional teams to align on data initiatives
• Facilitating training and change management across departments
• Serving as the primary liaison between business stakeholders and technical teams
• Partnering with tax, finance, and operations leaders to ensure cross-functional data needs are addressed
• Leading the development and execution of enterprise data management and governance strategies
• Overseeing the design and implementation of scalable, reliable data solutions
• Establishing and enforcing governance frameworks, policies, and standards
• Driving continuous improvement in data management processes
• Managing and prioritizing multiple projects

Vice President, Enterprise Data Management

DevOps Engineer

• Provide leadership to the DevOps team
• Guide and deliver technology service to all stakeholders
• Implement CI/CD pipelines and monitoring solutions
• Ensure products and services are constantly available
• Act as a trusted adviser to both business and technology stakeholders
• Develop professional relationships with all levels of the organization, clients and vendors
• Participate in planning, creating and managing Multi-Cloud AWS, GCP and Azure environment
• Plan, implement and manage application availability and performance monitoring processes
• Troubleshoot complex production issues in a distributed environment
• Improve the quality of solutions delivered to customers by building out CI/CD pipelines
• Work with the development team to stabilize and accelerate applications
• Work with QA teams for reproduction and setup of complex production issues
• Apply patches and updates as needed for production issues
• Participate in on-call rotations, driving restoration and repair of service-impacting issues
• Adhere to defined IT security and process governance

Director, DevOps

Artificial Intelligence

• Lead the product strategy and roadmap for AI-first features, including ML-powered document processing, GenAI use cases (e.g., AskRyan), and decision automation tools.
• Partner with Data Science, Engineering, and UX teams to bring scalable and explainable AI capabilities to market.
• Drive discovery, experimentation, and delivery of AI models and LLM applications embedded into Ryan’s tax and compliance platforms.
• Define hypotheses and measurable KPIs for AI solutions; ensure model outcomes align with business goals.
• Own product lifecycle for AI features: data readiness, prototyping, testing, launch, post-release iteration.
• Guide the development of human-in-the-loop systems, AI safety protocols, and governance workflows.
• Collaborate with stakeholders on responsible AI principles (ethics, privacy, interpretability).
• Manage cross-functional delivery teams; build and prioritize backlogs for AI features and platform enablers.
• Communicate technical concepts, risks, and value clearly to both executive and non-technical stakeholders.
• Represent Ryan in AI partnerships, vendor selection, and thought leadership efforts.

Senior Director, AI Product Strategy

Business Analyst

• Liaise with solution stakeholders to gather information and analyze solution performance to capture business requirements and prioritize functionality enhancements
• Interview solution users, solution owners, designers and developers and monitor industry best practices to collect, document and prioritize business requirements for communication to the solution team
• Interview stakeholders to understand the unclaimed property business process and how the solution integrates with and enables the business process
• Document detailed unclaimed property business processes and prepare business requirements based on stakeholder interviews to address solution gaps; prioritize requirements and discuss with solution owners
• Establish relationships with product owners to understand system functionality and future design roadmap
• Analyze existing business and system processes and provide recommendations for improvement
• Identify and document gaps between solution functionality and business processes where enhanced functionality, reporting or tax content could remedy those gaps
• Use computerized spreadsheets, relational databases, word processing software, and computer programming software to perform job functions
• Evaluate new product releases to confirm business requirements have been met; communicate product release information to stakeholders
• Perform other duties as assigned

Business Analyst, Unclaimed Property

Backend Engineer

The Senior Data Engineer is responsible for the identifying, developing, and maintaining the technologies that enable the efficient flow of data throughout the organization. This role requires an enterprise mindset to build out robust, high-performance technology. Duties and Responsibilities, aligned with Key Results: People Use a variety of programming languages and tools to develop, test, and maintain data pipelines within the Platform Reference Architecture. Working directly with management, product teams and practice personnel to understand their platform data requirements Maintaining a positive work atmosphere by behaving and communicating in a manner that encourages productive interactions with customers, co-workers and supervisors Developing and engaging with team members by creating a motivating work environment that recognizes, holds team members accountable, and rewards strong performance Fostering an innovative, inclusive and diverse team environment, promoting positive team culture, encouraging collaboration and self-organization while delivering high quality solutions Client Collaborating on an Agile team to design, develop, test, implement and support highly scalable data solutions Collaborating with product teams and clients to deliver robust cloud-based data solutions that drive tax decisions and provide powerful experiences Analyzing user feedback and activity and iterate to improve the services and user experience Value Securing data in alignment with internal information and data security policies, best practices and client requirements Creating and implementing robust cloud-based data solutions that scale effectively, and provide powerful experiences for both internal teams and clients Performing unit tests and conducting reviews with other team members to make sure solutions and code are rigorously designed, elegantly coded and effectively tuned for performance Staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities and mentoring other members of the engineering community Perform other duties as assigned Education and Experience: Bachelor’s and/or Master’s degree in a related field. 7+ years of experience developing data technologies. 7+ years of experience deploying ETL solutions in production environments. 7+ years of experience with cloud-based data services, preferably in AWS or Azure. 7+ years of experience developing Python, Scala, Java, .Net or similar solutions in a backend or data wrangling capacity. 7+ years of experience in mixed Windows/Linux environments. Additional Required Skills and Experience: Results-proven track record of exceeding goals and evidence of the ability to consistently make good decisions through a combination of analysis, experience and judgment Fluency in one or more databases, preferably relational and NoSQL is a plus. Experience with distributed data platforms is a plus. Exposure to AI/ML pipelines is preferred. Experience deploying, monitoring, and maintaining data pipelines in production environments Computer Skills: To perform this job successfully, an individual must have intermediate knowledge of Microsoft Project, Word, Excel, Access, PowerPoint, Outlook, and Internet navigation and research. Supervisory Responsibilities: Requires supervisory responsibilities, including training employees, assigning work, and assuring quality throughout any deliverables Work Environment: Standard indoor working environment. Occasional long periods of sitting while working at computer. Position requires regular interaction with employees at all levels of the Firm and interface with external vendors as necessary. Independent travel requirement: As Needed

Senior Data Engineer (Python Developer)

• As a member of the Ryan Application Development Team, this position will be a critical contributor to an ambitious strategic initiative with the goal of re-envisioning a broad suite of enterprise level applications.
• Aiming to create simple and compelling developer and client experiences, the DevOps Engineer will be required to design, maintain, and manage infrastructure configuration with the goal of achieving a continuous deployable system while maintaining an exceptional level of service delivery for all our clients.
• We are looking for someone that is experienced in building scalable and efficient cloud infrastructure with built-in monitoring for automated system health checks.
• Candidates will be required to interface directly with technical leads, software architects, other business groups, and key stakeholders demanding exceptional communication and interpersonal skills.
• The Ryan Application Development Team promotes an open-minded atmosphere of learning and growth and expects the same from candidates.
• We want to foster a positive and enthusiastic can-do attitude with our work.
• Candidates should have a sense of where things are going and have experience using best of breed tools, technologies, and practices.
• This role is a formative one for the future of application development within Ryan, LLC and will be best filled by candidates hungry to have a huge impact.