Careers

The Senior Vice President of Technology is responsible for establishing and executing the data and technology vision to support GOBEL’s strategic goals and developing new solutions that meet the evolving needs of the healthcare philanthropy market. This position provides leadership across three technology areas:

1. Leading enterprise information security, compliance, and governance for a SOC 2 certified environment that processes PHI records on behalf of healthcare customers
2. Building and leading a software engineering team to develop new technology platforms and offerings for healthcare philanthropy
3. Building and leading the data analytics team in modernizing and enhancing existing analytics and data warehousing systems and solutions

Strategic Data & Technology Leadership

• Establish, execute, and communicate the technology and data vision, strategies, and technical architecture for both our new technology platforms and existing data analytics offerings to internal stakeholders, external partners, and investors
• Build and lead high-performing software engineering and data analytics teams
• Create and implement technology roadmaps aligned with product strategy and business objectives. Oversee all technological resources, ensuring the protection of assets while evolving to meet organizational needs
• Discover and implement new technologies that provide a competitive edge, focusing on AI, ML, predictive modeling, and other trends relevant to healthcare philanthropy

SaaS Platform Development

• Lead the architectural design, development, and deployment of modern, cloud-native SaaS platforms for healthcare philanthropy
• Establish software engineering and development standards, CI/CD pipelines, quality assurance processes, and technical documentation practices
• Work closely with the SVP of Product to translate product requirements into technical implementations
• Implement contemporary software development practices and frameworks including Agile methodologies, DevOps, Infrastructure as Code (IAC), and automated testing
• Ensure platform security, scalability, maintainability, and observability

Data Analytics Modernization

• Lead the technical modernization of our existing data analytics and predictive modeling offerings.
• Address technical debt in the current system while maintaining service continuity.
• Oversee the implementation of data engineering best-practices, including the establishment and maintenance of data pipelines, data architecture and modeling, and integration solutions.
• Optimize and standardize data operations through the implementation of contemporary tools and frameworks for maintainable data pipelines.

Team Leadership & Development

• Provide leadership to teams including IT, data science, engineering, analytics, business intelligence, fostering a collaborative, results-driven culture.
• Conduct regular check-ins and hold meetings with team members to discuss priorities, remove roadblocks, and provide strategic guidance.
• Mentor and support team members' professional growth through coaching, training, and performance evaluations.
• Partner with internal divisions to ensure cohesive engagements and delivery of quality products and services.

Information Security, Compliance & Data Governance

• Ensure HIPAA compliance across all systems and implement policies that meet all regulatory requirements and standards. Manage the Information Security function and work closely with the Information Security Officer to develop and implement information security strategies and processes.
• Oversee the maintenance of our SOC 2 Type 2 certification across all five trust services criteria.
• Lead the company’s initiatives to attain additional industry certifications in information security (e.g., HITRUST, PCI-DSS, NIST).
• Establish and maintain cybersecurity controls and systems for a cloud-hosted data warehouse environment containing healthcare records and PHI.

Stakeholder Collaboration & Communication

• Work closely with the SVP of Product on product strategy, technical feasibility, and implementation planning.
• Engage with senior leadership, clients, and stakeholders to align data initiatives with business goals.
• Provide regular insights and KPI reports, using advanced analytics to inform decision-making and strategic opportunities.
• Ensure client satisfaction through outstanding service, supporting the seamless delivery and impactful usage of data solutions.
• Translate complex technical concepts into clear business terms for non-technical stakeholders.

Budgeting & Performance Monitoring

• Monitor IT budgets and KPIs, seeking innovative ways to enhance technological performance.
• Conduct regular technological analyses and research to identify improvements that maximize ROI for clients.
• Ensure that all technological resources align with the organization’s short- and long-term goals.

Qualifications

• 12+ years of progressive management experience in IT, data science, or technology leadership, ideally in a healthcare or philanthropy-focused environment.
• Experience in architecting, building, and scaling cloud-native SaaS platforms, preferably in healthcare B2B environments.
• Experience in managing the full software development lifecycle for enterprise B2B applications.
• Strong expertise in cloud-native applications (preferably Microsoft Azure) and modern software development practices.
• Experience with HIPAA compliance and secure computing environments containing PHI data.
• Experience with healthcare IT and data systems, integrations, and IT compliance required.
• Experience in maintaining SOC 2 (or comparable) certification across all five TSCs
• Strong understanding of data warehousing best practices, including ETL/ELT, data modeling, data visualization, and analytics pipelines.
• Experience with data engineering and workflow orchestration tools, data transformation tools, and modern data stack technologies.
• Experience with building and supporting customer-facing dashboard solutions using Tableau, Power BI and/or other contemporary data visualization tools. Experience with AI, ML, predictive modeling, and implementing data science solutions in production environments.
• Experience integrating disparate data sources, particularly with EMR and CRM derived data. Experience in modernizing legacy systems while maintaining service continuity.
• Proven experience in budgeting, business planning, and managing KPIs.
• Excellent communication, management, and supervisory skills, with the ability to mentor, train, and lead high-performing teams across software engineering, data analytics, and infosec.
• Strong strategic thinking, analytical abilities, and a problem-solving mindset.
• Able to communicate complex data and technology concepts effectively with employees, stakeholders, and clients.
• Bachelor’s degree in Data Science, Computer Science, Engineering, Information Systems, or related field; an advanced degree is preferred.

GOBEL offers competitive compensation and excellent healthcare, including company-paid employee coverage for medical, dental, vision, prescription coverage, disability, and life insurance, and retirement savings plan (401k) with a company match. We also provide twenty (20) days of annual paid time off, and twelve (12) paid holidays.

(Full Time / Remote, USA - St. Petersburg, FL - Preferred)

If you are interested in applying for this role, please reach out to Benjamin Shamis, Partner, Executive Recruiter - Healthcare Tech and Innovation with Direct Recruiters Inc. (bshamis@directrecruiters.com)

Work samples and manager references may be requested as part of the interview process.

GOBEL is an equal opportunity employer. We are committed to creating an inclusive environment and ensuring fair treatment for all employees and applicants. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, veteran status, marital status, genetic information, physical appearance, or any other characteristic protected by applicable federal, state, or local laws.

The Senior Vice President (SVP) of Product is a strategic leader responsible for driving the product vision, strategy, and execution across the organization. This role involves overseeing the full product lifecycle, from ideation to launch and continuous improvement, ensuring alignment with business objectives, customer needs, and market trends. The SVP of Product collaborates with cross-functional teams to deliver innovative, high-impact solutions that drive growth and customer satisfaction.

This role will drive the company’s transformation from a services-focused organization to a product-enabled company through the development of new technology platforms for healthcare philanthropy.
Product Strategy & Vision:

• Define a clear and compelling vision for our products, including new technology platforms and existing data analytics products, aligning them with customer needs and larger business objectives.
• Create and maintain the company's product roadmap, ensuring alignment with the product vision and business objectives. Update and communicate the roadmap to guide development efforts and maintain transparency across teams.
• Prioritize product features and capabilities to maximize value and achieve business objectives.
• Deeply comprehend the company's business model and how it relates to product strategy.
• Be knowledgeable about the history of products and their evolution to make informed decisions.

Cross-Functional Collaboration:

• Partner with engineering, design, marketing, sales, and customer success teams to ensure cross-functional alignment and seamless execution.
• Work closely with the SVP of Technology and their engineering teams to ensure technical feasibility and successful implementation of product features.
• Work closely with the Chief Commercial Officer on go-to-market strategies and product positioning.
• Rally and align stakeholders around the product vision, ensuring a shared understanding and commitment to success.
• Collaborate with cross-functional teams to gather and document detailed product requirements, user stories, and use cases.
• Create a shared knowledge base across larger teams, enabling independent decision-making that aligns with the product vision.

Market & Customer Insights:

• Continuously monitor the healthcare philanthropy market, conduct competitive analyses, and stay updated on industry trends to inform product strategy.
• Utilize market research, customer insights, and competitive analysis to identify trends and opportunities for product innovation.
• Champion customer feedback and usability testing to continuously refine and enhance product offerings.
• Run user group sessions to gather insights and feedback that inform product decisions and enhance user experience.
• Understand and represent user needs throughout the product development lifecycle.
• Develop expertise in healthcare foundation operations, donor management cycles, and healthcare data integration challenges and solutions.

Product Development & Execution:

• Oversee the entire product development lifecycle, from concept to launch, ensuring timely and high-quality execution.
• Define and track key product performance metrics, making data-driven decisions to optimize product success.
• Ensure compliance with regulatory requirements (including HIPAA), data privacy, and industry standards for healthcare data.
• Lead the company’s adoption of contemporary SaaS product management methodologies and best practices.
• Build a product organization that balances new development initiatives with existing products and solutions.

Stakeholder Collaboration & Communication:

• Represent the company externally as a thought leader in the industry, including speaking engagements, conferences, and customer interactions.
• Communicate product strategy, roadmap updates, and key initiatives to internal and external stakeholders.
• Align with executive leadership on strategic goals and ensure product initiatives support overall business objectives.
• Formulate and articulate the value proposition of our solutions to clients, partners, and investors.

Budget & Performance Management:

• Oversee budget allocation for product initiatives and ensure efficient resource utilization.
• Monitor and evaluate product performance against key business metrics, optimizing strategy as needed.
• Identify and mitigate risks that may impact product success, ensuring continuous improvement.
• Develop pricing strategies and revenue models for SaaS platforms and existing products.

Qualifications

• 12+ years of experience in product management, with at least 5 years in a senior leadership role.
• Significant experience with SaaS product management and contemporary CRM systems (e.g., Salesforce, Blackbaud Raiser’s Edge).
• Significant experience leading product strategy for organizations transitioning from service-based to product-enabled business models.
• Working knowledge of healthcare philanthropy processes, donor management cycles and workflows, and CRM usage in an enterprise environment.
• Proven track record of successfully launching B2B SaaS products and scaling products in a fast-paced, high-growth environment.
• Experience working with healthcare data systems and understanding of challenges in integrating with existing EMR systems.
• Strong leadership, team-building, and mentoring skills.
• Excellent analytical and problem-solving abilities, with a data-driven mindset.
• Deep understanding of Agile methodologies, product development frameworks, and go-to-market strategies.
• Strong communication and stakeholder management skills, with the ability to influence across all levels of the organization.
• Experience in Healthcare Philanthropy, Healthcare Technology, is required.
• Familiarity with cloud-native products and solutions (Microsoft Azure), contemporary data warehousing paradigms, and analytical solutions delivered via business intelligence tools (e.g., Tableau, Power BI).
• Bachelor’s degree in business, engineering, computer science, or a related field; MBA or advanced degree preferred.

GOBEL offers competitive compensation and excellent healthcare, including company-paid employee coverage for medical, dental, vision, prescription coverage, disability, and life insurance, and retirement savings plan (401k) with a company match. We also provide twenty (20) days of annual paid time off, and twelve (12) paid holidays.

(Full Time / Remote, USA - St. Petersburg, FL - Preferred)

If you are interested in applying for this role, please reach out to Stephen Benson, Partner, Recruiting Director - Healthcare Tech and Innovation with Direct Recruiters Inc. (sbenson@directrecruiters.com)

Work samples and manager references may be requested as part of the interview process.

GOBEL is an equal opportunity employer. We are committed to creating an inclusive environment and ensuring fair treatment for all employees and applicants. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, veteran status, marital status, genetic information, physical appearance, or any other characteristic protected by applicable federal, state, or local laws.

We are seeking a skilled and analytical Data Scientist to join our team. The ideal candidate will have strong expertise in data science fundamentals, statistical inference, and machine learning approaches applicable to donor behavior modeling. This role will involve designing, implementing, and optimizing machine learning models to derive insights and support data-driven decision-making.

As a Data Scientist, you will be responsible for developing and improving predictive models that identify relationships between patient experiences, gratitude indicators, and philanthropic potential. We are looking for an experienced problem solver with an ability to understand customer needs, support and maintain ML models in a data warehouse, and someone who willingly collaborates on related issues and innovative enhancements.

This position requires an understanding of feature engineering, model validation, and the ability to create interpretable solutions. As our Data Scientist, you’ll need to possess an understanding of the statistical foundations of various analytical techniques and be able to select and implement the appropriate methodology to tackle specific challenges in healthcare philanthropic giving.

Responsibilities

• Develop predictive models to identify high-potential donors by analyzing patient experience data and traditional wealth indicators.
• Design and implement donor segmentation frameworks using appropriate statistical and machine learning techniques.
• Create propensity models that forecast giving likelihood, optimal ask amounts, retention probability, and other donor analytics metrics.
• Evaluate and enhance model performance through appropriate validation and A/B testing.
• Collaborate with business intelligence, data engineering, and professional services teams to integrate machine learning models into products and offerings.
• Stay up to date with the latest advancements in data science, machine learning, and AI.
• Document and communicate findings, methodologies, and insights to both technical and non-technical stakeholders.
• Partner closely with technology and data team members to build knowledge of existing models and fulfill requests related to our predictive analytics products and services.
• Apply modern data engineering and data science techniques to support the development of decision support products and services.
• Evaluate and analyze client outcomes data to quantify ROI and develop client success metrics
• Identify, design, and implement internal process improvements, including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes.
• Proactively anticipate, identify, and solve issues concerning data management to improve data quality.
• Work with stakeholders including executive, data, design, product, and services teams, assisting them with data-related technical issues.
• Support and participate in the company’s efforts to improve continuous integration, test-driven development, and production deployment frameworks.
• Work with clients (on the phone, over email, face-to-face) as needed to understand existing issues or new requirements.
• Perform quality checks from business requirements to user acceptance testing.
• Seek out innovative ways to enhance products and services offered.
• In partnership with the team, develop and maintain standardization of documents and materials.
• Other duties as assigned.

Qualifications

• Bachelor’s Degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field required.
• Master’s or Ph.D in Applied Statistics, Data Science, or Data Analytics preferred.
• Minimum 5 years of experience in data science, predictive modeling, and/or marketing analytics.  Experience in the healthcare philanthropy industry preferred.
• Proven experience developing, implementing, and supporting various predictive modeling techniques in a production environment.
• Proficiency with advanced SQL, including window functions, CTEs, subqueries, complex joins, and optimization techniques for large datasets.
• Proficiency with data manipulation and analysis tools in Python such as Pandas, NumPy, Scikit-learn.
• Proficiency with statistical  analysis techniques using R, Python, SAS, SPSS, and others. .
• Deep knowledge across a variety of machine learning techniques (clustering, decision trees, neural networks, etc.) and their advantages/drawbacks.
• Deep knowledge of advanced statistical and probability theory, techniques, and concepts and the ability to apply them to business problems
• Experience working in cloud-native environments, particularly Microsoft Azure, including data warehouses, machine learning services, and data processing pipelines.

GOBEL offers compensation in the range of $130,000 - $150,000 based on experience. In addition, GOBEL offers excellent healthcare, including company-paid employee coverage for medical, dental, vision, prescription coverage, disability, and life insurance, and retirement savings plan (401k) with a company match. We also provide twenty (20) days of annual paid time off, and twelve (12) paid holidays.

(Full Time / Remote, USA)

GOBEL is an equal opportunity employer. We are committed to creating an inclusive environment and ensuring fair treatment for all employees and applicants. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, veteran status, marital status, genetic information, physical appearance, or any other characteristic protected by applicable federal, state, or local laws.

Work samples and manager references may be requested as part of the interview process.

The Advanced Analytics Engineer contributes to implementing, managing, and optimizing data products and services, data infrastructure and warehouses, business intelligence tools, and interactive customer dashboards. As an Advanced Analytics Engineer, you possess a solid understanding of data modeling, analytics, and technology in the context of fundraising operations, as well as a commitment to providing excellent support and services to our clients.

The Advanced Analytics Engineer is a proactive professional who takes a collaborative approach to solutions design and problem solving.  This role is responsible for building and maintaining scalable data pipelines, implementing new client products and services, participating in data quality management and production support activities, engaging in organizational research and development initiatives, and supporting day-to-day operations in a full-service data analytics department.

Data Integration and Transformation:

• Assemble large, complex datasets that meet business requirements.
• Identify, design, and implement process improvements for scalability.
• Build infrastructure for data extraction, transformation, and loading using Azure and SQL technologies.
• Access and query various data sources, including relational databases, SQL databases, and APIs.
• Clean, deduplicate, and optimize data at scale for ingestion and consumption.
• Proactively address data management issues to improve data quality.

Business Intelligence and Analytical Insights:

• Performs analysis of philanthropy data to help drive client outcomes.
• Performs data mining of client data and working with large data sets.
• Creates business intelligence dashboards and data visualization solutions.
• Develop analytical tools to provide insights into key performance metrics.
• Work closely with subject matter experts, data engineers, and data scientists to fulfill data-related requests.

Technical Production Support:

• Troubleshoot complex data issues and perform root cause analysis.
• Interact with cross-functional teams to understand their needs and resolve issues.
• Perform quality checks and user acceptance testing.
• Develop and maintain documentation and materials.

Cross-Functional Team Collaboration:

• Meet with internal teams to clarify and document reporting requirements.
• Collaborate to understand existing issues and new requirements.
• Perform client needs assessment and scoping, selling, and planning of projects and management of outputs.
• Brings a strong expertise and point of view on data and insights that allow us to drive optimal performance for our client’s work.

Consulting Operations Support:

• Submit change requests and perform updates to data outputs.
• Support leads who collect large data sets, prepare data, create models and delivery results back to clients.
• Partner with data dashboard/report writers to manage analytic projects, deliver and support dashboards/reports to identified clients.
• Implement tracking reports, lists and portfolio reviews for clients.

Qualifications

• Bachelor’s Degree required, preferably in Computer Science, Information Systems, Business, or a related field.
• Minimum of three (3) years of experience working in a data driven or analytical driven function or department. 
• Minimum of two (2) years of experience in data engineering and/or data architecture with demonstrated familiarity and/or experience in designing, developing, managing, and optimizing automated data pipelines that support business intelligence and machine learning systems.
• Experience with supporting ELT and ETL pipelines using dedicated pipeline orchestration tools such as Airflow, Prefect, Dagster, or others.
• Experience in designing and implementing dimensional data models (e.g., star, snowflake, constellation, etc.) to support the design and development of end-to-end data warehouse solutions for business intelligence purposes.
• Experience in implementing, maintaining, and supporting business intelligence solutions in Power BI and Tableau, including the optimization of data models to improve dashboard performance and usability.
• Experience with cloud-based data services and technologies, with an emphasis on data warehouse solutions deployed in Microsoft Azure.
• Experience using Git-based version control systems including an understanding of best practices for maintaining clean and efficient code repositories.
• Proficiency in SQL, Python, APIs, contemporary data warehousing techniques, and managing large datasets.
• Background and knowledge of data analytics in healthcare fundraising and grateful patient programs highly desirable.
• Quick adaptability to new programming languages, technologies, and frameworks.
• Exceptional attention to detail, responsiveness, and project management abilities.
• Willingness to work outside of traditional business hours and interact with clients virtually.

GOBEL offers compensation in the range of $75,000-$135,000 based on experience. In addition, GOBEL offers excellent healthcare, including company-paid employee coverage for medical, dental, vision, prescription coverage, disability, and life insurance, and retirement savings plan (401k) with a company match. We also provide twenty (20) days of annual paid time off, and twelve (12) paid holidays.

(Full Time / Remote, USA)

GOBEL is an equal opportunity employer. We are committed to creating an inclusive environment and ensuring fair treatment for all employees and applicants. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, veteran status, marital status, genetic information, physical appearance, or any other characteristic protected by applicable federal, state, or local laws.

Work samples and manager references may be requested as part of the interview process.

GOBEL is seeking an experienced Data Engineer to join our team in a remote working environment. In this role, the candidate will contribute to managing and optimizing data infrastructure, ensuring the collection, organization, analysis, and maintenance of data in our data warehouses. To be qualified for the Data Engineer position at GOBEL, the candidate will possess a strong understanding of data engineering, dimensional modeling, analytics, and ETL/ELT automation in a Microsoft Azure-based data warehouse environment created to support the company’s solutions in business intelligence dashboards, machine learning, and advanced analytics.

The ideal candidate for this role possesses 5+ years of experience working in an enterprise data warehouse environment.  This position will be responsible for:

• Modernizing existing data warehouse systems and infrastructure
• Developing and maintaining dimensional data models for analytics
• Designing, implementing, and maintaining pipeline automation using dbt and Prefect
• Improving existing code base to increase scalability of data architecture
• Collaborating with business intelligence and machine learning developers
• Supporting customer-facing teams with ad-hoc data requests and production support
• Implementing automated testing, data quality checks, and maintaining code documentation
• Working with customer data teams to review and validate data specs against requirements

This position is a technical engineering role requiring effective technical leadership and problem-solving skills. The qualified candidate will be comfortable in evaluating existing systems, identifying areas of opportunity, and making informed best-practice recommendations for implementation.

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Business, or a related field.
• Minimum of five (5) years of experience in data engineering and/or data architecture including designing, developing, managing, and optimizing automated data pipelines that support business intelligence and machine learning systems.
• Capable of effectively working and maintaining collegial relationships in a remote environment and collaborating across multiple time zones.
• Experience in creating, deploying, and supporting ELT and ETL pipelines using dbt and Prefect.
• Experience in retrieving and sending data to/from various sources including, but not limited to, nightly batch processing of flat files, direct database queries, and API calls. Proficiency in understanding API protocols (e.g., REST, SOAP), authentication mechanisms (OAuth, API secrets), and handling various data formats (JSON, XML, CSV) is preferred, particularly in the context of creating and maintaining data pipelines.
• Experience in implementing automated monitoring, alerting, and logging mechanisms within data pipelines, including proficiency in error handling and recovery strategies to ensure data integrity and systems reliability.
• Experience in developing dimensional data models (e.g., star, snowflake, constellation, etc.) to support the design and development of end-to-end data warehouse solutions for business intelligence purposes.
• Experience in supporting business intelligence solutions maintained in Power BI and Tableau, including the optimization of data models to improve dashboard performance and usability.
• Experience with cloud-based data services and technologies, with an emphasis on data warehouse solutions deployed in Microsoft Azure.
• Experience using Git-based version control systems including an understanding of best practices for maintaining clean and efficient code repositories.
• Proficiency in SQL, Python, APIs, data warehouses, and managing large datasets.
• Deep understanding of data warehousing, data modeling, governance, and architecture.
• Excellent relationship-building skills across cross-functional teams.
• Familiarity with reporting and analytical tools like Power BI, Tableau, etc.
• High attention to detail, responsiveness, and project management abilities.

GOBEL offers compensation in the range of $130,000-$150,000 based on experience. In addition, GOBEL offers excellent healthcare, including company-paid employee coverage for medical, dental, vision, prescription coverage, disability, and life insurance, and retirement savings plan (401k) with a company match. We also provide twenty (20) days of annual paid time off, and twelve (12) paid holidays.

(Full Time / Remote, USA)

GOBEL is an equal opportunity employer. We are committed to creating an inclusive environment and ensuring fair treatment for all employees and applicants. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, veteran status, marital status, genetic information, physical appearance, or any other characteristic protected by applicable federal, state, or local laws.

Work samples and manager references may be requested as part of the interview process.