MDaudit

Risk

• Operationalize data observability, monitoring, and governance across our Snowflake and AWS-based platform
• Shape governance frameworks, implement enterprise observability, and ensure data quality at scale
• Translate the data observability/governance strategy into executable roadmaps and quarterly plans; maintain backlogs and delivery timelines
• Act as a trusted partner to Product, CX, and Engineering on data quality, stewardship, and compliance topics
• Promote a culture of accountability via clear SLAs/SLOs, runbooks, and regular health reporting
• Implement and operate real-time monitors, anomaly detection, lineage tracking, and automated alerting within core pipelines
• Define, track, and report SLAs/SLOs/KPIs for data reliability, coordinate incident response and postmortems
• Work with Data Engineering to embed tests and quality checks in CI/CD and production jobs
• Execute MDaudit’s data governance framework (ownership, stewardship, metadata, lineage, and quality rules)
• Partner with Security/Compliance to align with HIPAA, SOC 2, and HITRUST; maintain evidence and audit readiness
• Administer data cataloging, classification, access reviews, and retention controls across domains
• Configure and manage observability/governance platforms (e.g., Monte Carlo/Bigeye; Collibra/Alation or similar)

Senior Manager, Data Observability, Monitoring, Governance

Marketing

• Own all aspects of marketing including target market segmentation and prioritization, matching new product functionality with optimal target market sub-segments, and executing targeted demand generation/performance marketing initiatives
• Lead brand evolution, creative, events, marketing operations, data analytics, PR, and sales enablement
• Partner with senior leadership to develop strategic marketing plans and execute the marketing strategy
• Develop a detailed plan to achieve a 2-3x increase in pipeline size and ensure organizational alignment around key target segments and sequencing of execution
• Establish KPIs, performance measures, benchmarks (e.g., cost per lead, conversion into sales opportunities), optimal tactical mix, and manage the annual budget
• Build and lead market research and planning initiatives to define buyer personas, buying journeys, and critical information sources
• Work with senior leadership and product to finalize pricing and positioning of product integrations and bundles
• Articulate company growth strategy and evolve the MDaudit brand story and messaging architecture
• Operate go-to-market as a data-driven machine, evolving analytics to optimize media/advertising spend based on ROI
• Enable sales with content, pitch decks, training, competitive analysis, case studies, white papers, and buyer guides
• Maximize lead generation from trade shows, conferences, virtual events, and QBRs with existing clients
• Build and develop a marketing team across Product Marketing/Upsell and Digital/Demand Generation and lead agency engagements effectively

Vice President, Marketing

Artificial Intelligence

• Lead the next phase of MDaudit technological evolution across application development, AI-driven product innovation, and data integrations.
• Define and own the technical vision for AI, leading design, prototyping, and deployment of AI-driven solutions.
• Drive AI initiatives for organizational productivity, including customer support automation and engineering productivity accelerators.
• Stay abreast of emerging technologies and assess applicability to MDaudit’s roadmap (LLMs, cloud AI services such as AWS Bedrock, etc.).
• Oversee design and delivery of enterprise-grade applications ensuring scalability, performance, and reliability.
• Provide architectural and technical leadership across development stacks (e.g. .NET, SQL Server, React/Angular, AWS cloud native architectures).
• Build, lead and mentor high-performing onshore and offshore teams; manage vendor and partner ecosystems.
• Strengthen cross-functional partnerships with Product, Customer Experience, and Marketing to ensure execution and adoption.
• Collaborate with Security and Architecture teams to ensure solutions meet HITRUST and HIPAA compliance standards.
• Ensure AI innovations and roadmap features move from pilot to production with measurable customer and organizational impact.
• Define and track KPIs for adoption, scalability, customer outcomes, and productivity improvements.
• Establish repeatable frameworks for scaling successful pilots and champion change management and enablement.

Director – AI and Innovation

Customer Success Manager

• Develop and manage ongoing strategic partnerships with the MDaudit customer base
• Build relationships with MDaudit customers to maintain high customer satisfaction and loyalty
• Identify opportunities to optimize and expand the use of the product
• Collaborate with Implementation, Support, Product, Finance and Sales teams to achieve customer success
• Advocate for customers and work with decision makers to embrace change and expand footprint within each product offering
• Travel to customers up to 25% for collaboration and relationship building
• Improve customer satisfaction (NPS) year over year
• Regular updates to Customer Health Scorecard and apply risk metrics to inform retention strategy
• Manage goals related to churn and retention and own CHURN
• Advocate for timely resolution for escalated account issues and product enhancements
• Conduct proactive holistic reviews of customer accounts (Business Reviews)
• Provide regular customer updates to key MDaudit stakeholders
• Primary liaison between customers and internal teams
• Coordinate and influence customer participation in events and MDaudit Community initiatives
• Educate customers on new offerings and releases
• Drive sales of MDaudit services working with implementation and finance teams
• Partner with Senior Director of Customer Growth to identify, qualify and close upsell and renewal opportunities
• Ensure compliance with contract conditions and SLAs
• Utilize Salesforce and other mission critical tools to document customer interactions and information

Security Engineer

• Senior Cloud Security Engineer to help design, create and implement systems to solve complex business problems regarding Cloud Security around our SaaS platform.
• Define strategies and solutions that align with security, leverage common solutions and services to mitigate security risks, and meet financial and strategic objectives.
• Provide technical and security engineering support during pre and post sales phases.
• Act as technical liaison for customers for security related topics.
• Assist Infrastructure lead with managing disaster recovery and Pen test projects and build new infrastructure.
• Support AWS production and development VPCs and Rackspace elastic engineering.
• Work with external vendors to gain HITRUST certification and develop security policies.
• Maintain AWS security processes, patch management, onboard/offboard employees, and coordinate penetration testing.

Senior Cloud Security Engineer

Director

Provide thought leadership and act as a subject matter expert within MDaudit and our customer base to address key technology, system integration, and data needs.
Create/maintain customer data implementation toolkits, prepare and deliver customer integration workshops and develop integration materials and artifacts to address IT-related customer needs and questions pre- and post-sales.
Maintain SOC controls relating to data integration and technical compliance and ensure MDaudit’s compliance with data governance and security policies.
Maintain a hands-on engagement in the development and delivery of required integrations.
Spearhead the company’s vision and strategy to execute a long-range systems integration and data analytics plan with accompanying solution roadmap for sustained customer success.
Determine user and performance requirements and collaborate with the product team to develop technical requirements for partner integrations.
Assist with data requirements, specifications, filtering, extracting, dashboards and troubleshooting.
Work on issues as reported and provide data process integrity and actionable information to sales, implementation, services and our support organizations.
Develop a detailed integration plan for each project which includes routine communication touchpoints based on customer needs and available resources.
Experience working with large datasets, data warehousing and business intelligence platforms and consuming data from varied sources, including databases, queues, APIs, flat files, etc.
Manage relationships with external vendors and other third parties, as needed, to support analytics projects and ensure successful implementation.
Stay updated with industry trends and emerging technologies in analytics and data integration to drive continuous improvement and innovation.
Lead a team of data integration engineers/analysts in the design, development, testing, deployment, production turnover and operations of data pipelines that integrate data across MDaudit customers and technology solutions
Work with teams and team members at all levels in an open and respectful manner that promotes collaboration and knowledge sharing.
Work closely with Customer and Product teams and associates to define data requirements.
Excellent analytical and problem-solving skills, with the ability to translate complex data into actionable insights.
Other duties and responsibilities as assigned.

Senior Manager, Data Observability, Monitoring, Governance

Vice President, Marketing

Director – AI and Innovation

Customer Success Manager

Senior Cloud Security Engineer

Director of Integrations