• Define and execute enterprise account growth strategies, including new logo acquisition and strategic expansion within key accounts • Lead and scale enterprise business development teams, driving pipeline creation in priority verticals • Identify new markets, partnerships, and routes-to-market to accelerate long-term growth • Align enterprise strategy with corporate policy deployment and growth objectives • Own enterprise channel strategy (distributors, partners, national accounts) • Design scalable channel frameworks to drive revenue growth, coverage, and customer penetration • Establish governance, performance metrics, and incentives to optimize channel contribution • Partner cross-functionally to align channel strategy with product, pricing, and customer needs • Build and lead a unified revenue operations capability spanning: Pipeline management, Forecasting & analytics, Territory planning & account segmentation, Sales process and productivity • Deliver accurate forecasting, performance insights, and operational rigor to improve decision-making • Design and implement scalable systems, tools, and processes that improve sales effectiveness, being a visible champion and change agent for AI solutions • Apply FBS principles to drive continuous improvement, standard work, and operating discipline across the commercial teams • Lead kaizen initiatives to improve commercial processes, data accuracy, and execution speed • Establish operating rhythms tied to performance metrics and accountability • Act as a trusted advisor to senior leadership on growth strategy, performance, and investment prioritization • Influence decisions across a matrixed organization with high executive visibility • Build, lead, and develop high-performing teams across: Enterprise business development, Channel management, Sales / revenue operations

• Process invoices and manage vendor relationships. • Monitor organizational spending against budgets and flag variances to the VP of Operations. • File compliance paperwork, state charitable registrations, and corporate registrations, to ensure the organization meets all legal and regulatory requirements. • Draft and manage contracts, policies, and procedures. • Administer and optimize key software platforms across the organization. • Lead knowledge management projects, including data clean-up, document library organization, and documentation. • Identify opportunities to improve efficiency across workflows and functions. • Prepare agendas, materials, and follow-up notes for internal meetings. • Support the collection, organization, and reporting of organizational data, including marketing and fundraising metrics; maintain dashboards or tracking tools that help the team monitor progress toward goals. • Onboard and offboard staff. • Maintain HR records and assist with benefits administration. • Create and deliver staff training and coordinate team-wide learning opportunities. • Help plan and facilitate in-person team gatherings and events. • Monitor public-facing inboxes, respond to messages, and route messages to the appropriate team member. • Maintain a database of grantee stories about programs VOW supports. • Create and maintain project plans, timelines, and progress reports for organizational initiatives. • Partner with the fundraising and marketing teams on special projects and operational needs. • Other duties as assigned.

• Data Partnership Operations & Lifecycle Management: Own the operational lifecycle of external data partnerships following contract signature. Act as the primary operational and technical point of contact for hospitals, biobanks, CROs, and research laboratories. Coordinate onboarding, data delivery timelines, and stakeholder communication to ensure successful execution of partnership milestones. • Data Transfer & Infrastructure Coordination: Manage secure biomedical data transfers using cloud infrastructure and standardized transfer protocols. Coordinate access management, encryption, and ingestion workflows across cloud storage systems (AWS S3, SFTP, APIs, direct upload pipelines). Ensure incoming datasets are delivered, validated, and tracked according to internal governance standards. • Clinical & Multi-Omics Data Harmonization: Collaborate with internal technical and product teams to define and maintain harmonized data models and metadata standards across complex clinical and multi-modal datasets. Organize and maintain relationships between clinical metadata and associated omics or imaging assets, including genomics, transcriptomics, spatial biology, and pathology data. • Pipeline Operations & Automation: Work closely with engineering and data teams to configure and maintain lightweight ingestion and QC pipelines. Identify operational bottlenecks and repetitive workflows and convert them into scalable systems, scripts, templates, dashboards, or automation tools that improve operational efficiency and visibility. • Data Quality Oversight: Coordinate automated and manual quality control checks across incoming datasets. Identify missing data, inconsistencies, corruption, or metadata mismatches and work directly with external partners to resolve issues. Ensure data integrity, traceability, and version control throughout the ingestion process. • Operational Tracking & Reporting: Maintain a centralized “single source of truth” for all incoming datasets, including ingestion status, completeness, QC status, and milestone tracking. Build and maintain reporting dashboards and operational tools to provide visibility into project progress, ingestion velocity, and operational risks. • Cross-Functional Collaboration & Communication: Partner closely with Data Science, Engineering, Legal, and Partnership teams to align operational execution with business and scientific priorities. Communicate technical issues clearly to both scientific collaborators and non-technical stakeholders. Provide regular updates on operational risks, blockers, and delivery progress. • Site Visits & External Partner Engagement: Conduct periodic visits to partner hospitals, biobanks, and laboratories to support onboarding, troubleshoot technical or operational bottlenecks, and strengthen long-term collaborations.

• Own the operational lifecycle of external data partnerships following contract signature. • Manage secure biomedical data transfers using cloud infrastructure and standardized transfer protocols. • Collaborate with internal technical and product teams to define and maintain harmonized data models and metadata standards across complex clinical and multi-modal datasets. • Work closely with engineering and data teams to configure and maintain lightweight ingestion and QC pipelines. • Coordinate automated and manual quality control checks across incoming datasets. • Maintain a centralized “single source of truth” for all incoming datasets, including ingestion status, completeness, QC status, and milestone tracking. • Partner closely with Data Science, Engineering, Legal, and Partnership teams to align operational execution with business and scientific priorities. • Conduct periodic visits to partner hospitals, biobanks, and laboratories to support onboarding, troubleshoot technical or operational bottlenecks, and strengthen long-term collaborations.