VP, Enterprise Data Architect

Datasite and its associated businesses are the global center for facilitating economic value creation for companies across the globe. From data rooms to AI deal sourcingand more. Here you'll find the finest technological pioneers: Datasite, Blueflame AI, Grata, and Sherpany. They all, collectively, define the future for business growth.Apply for one position or as many as you like. Talent doesn't always just go in one direction or fit in a single box. We're happy to see whatever your superpower is and find the best place for it to flourish.Get started now, we look forward to meeting you. .Job Description:The VP, Enterprise Data Architect is a senior enterprise data leader responsible for defining, governing, and advancing the architectural vision for data across a federated group of companies. This role spans multiple business units and platforms and requiresa leaderwho can unify disparate data environments into an integrated, scalable, andfuture readyenterprise data ecosystem.The VP SDA will shape thelong-termdata architecture strategy,establishmodern data capabilities, and ensure that data systems are secure,high-quality, governed, and aligned with business priorities. This leader will oversee all data architecture disciplines,including enterprisemedallion architecture, data Lakehouse, MDM,data systemsand integration architecture,and AI-driven data capabilities,through a blend of direct oversight anddotted linearchitectsacross the group.Success in this role requires a strong strategic mindset, deep technicalexpertise, and the ability to translate complex architectural concepts into clear,business alignedroadmaps. The VP will provide thought leadership, guidecross companyalignment, and drive the evolution toward a cohesive data operating model that supports data products, analytics, governance, and innovationand enterprise adoption of AI, Generative AI, and Agentic AI frameworks.This is a remote position based in the US.Key ResponsibilitiesEnterprise Architecture LeadershipEstablish andmaintainthe enterprise data architecture vision, includingconceptual,logicaland physical models, data flows, storage patterns, and integration frameworks.Create andmaintaina comprehensive inventory ofcurrent statedata capabilities across all business units.Define thetarget statearchitecture and align stakeholdersonthe required data product capabilities and technical foundations.Define and integratealreadyarchitectural patterns that support enterprise AI, Generative AI, and Agentic AI use cases, ensuring scalable and governed deployment across the ecosystem.Strategic Alignment and CollaborationPartner closely with leaders across Data Management, Data Governance, Data Product, Data Engineering, Analytics, and Product teams to translate business needs intodata drivensolutions.Serve as the primary liaison between Data Management and business units to ensure data strategies are fully aligned with organizationalobjectives.Collaborate with AI/ML teams to shape enterprise AI strategies, ensuring data architecture enablesmodel development, model operations (MLOps), vector storage,retrieval augmentedgeneration (RAG), andagent-orientedworkflows.Data Ecosystem OptimizationIdentifyopportunities to simplify,consolidate, or modernize legacy technologies, data stores, and applications.Oversee the design of scalable architectures that support enterprise-wide data products and shared capabilities acrossmultiplebusiness units and group-level functions.Monitor dataand related AIplatforms and systems to ensure availability, performance, reliability, and cost efficiency.Governance, Quality, and SecurityLead the development and enforcement of data architecture standards, quality frameworks, and governance policies.Collaborate with Legal, Compliance, and Information Security to ensure alignment with security, privacy, and regulatory requirements.Implement robust data security andaccess controlmodels to protect sensitive data across the ecosystem.Incorporate AI governance standards, including model transparency, lineage, auditability, responsible AI practices, and controls for Generative AI and Agentic AI solutions.Innovation & Continuous ImprovementStay current with emerging technologies, architecture patterns, and industry best practices.Identifyopportunities for innovation within cloud, big data, MDM, data lifecycle management, andproduct centricarchitectural approaches.Promote data architecture best practices across teams and business units.Provide thought leadership on emerging AI patterns, including vector databases, multimodal architectures, orchestration frameworks,agent basedsystems, andnext generationdata AIintegration models.QualificationsEducationBachelor's degree in Computer Science, Information Technology, Data Science, ora relatedfield.Master's degree or relevant professional certifications (e.g., CDMP, CIMP)stronglypreferred.Experience10+ years of experience in data management, data governance, or related disciplines within SaaS orcloud basedenvironments.Extensive background in enterprise data architecture, cloud solutions, data modeling, data warehousing, data lakes, data marts, and BI ecosystems.Proven success designing and implementing architectures that deliver data as a product for internal and external stakeholders.Strong understanding of structured and unstructured data management, data integration, data lifecycle management, and modern data platforms.Experience working with Scaled Agile or similar methodologies.SkillsProficiencyin AI architectural patterns, data preparation for AI/ML, and designing systems that support LLMs and Agentic AI workflows.Expertise incloud data platforms and tools (e.g., AWS, Snowflake, Redshift, Azure, Google Cloud, MDM, ETL/ELT tools).Exceptional communication skills with the ability to influence technical and nontechnical stakeholders.Deep knowledge of data governance frameworks, data management principles, and industry standards (ISO 27001, SOC 2).Strong understanding of data privacy and compliance requirements (GDPR, CCPA, emerging AI related).Advanced analytical,problem-solving, organizational, and system design skills.PreferredFamiliarity with project management tools and methodologies.Experience with analytics, BI platforms, or data visualization tools.Knowledge of Virtual Data Room (VDR) security protocols and data protection standards.Hands-on experience and Demonstrated leadership in developingAI readyplatforms and guiding enterprise adoption of AI/Gen AI technologies.Work Location & Flexibility:This position can be located remotely however if the candidate is based in our Minneapolis or New York City locations the office follows a hybrid work model. Employees in these locations are expected to work on-site a minimum of two days per week. Please note that specific business units or role requirements may necessitate additional in-office days based on team collaboration needs or operational priorities.The base salary range represents the estimated low and high end for this position based on a good faith assessment of the role and market data at the time of posting. Consistent with applicable law, each candidate's compensation offer may vary and will be determined based on but not limited to, your geographic region, skills, qualifications, and experience along with the requirements of the position. This position may be eligible for bonuses, commissions, or overtime if applicable. Benefits include health insurance (medical, dental, vision), a retirement savings plan, paid time off, and other employee benefits. Specific details will be provided during the interview process. Datasite reserves the right to modify this pay range at any time .$167,000.00 - $300,400.00Our company is committed to fostering a diverse and inclusive workforce where all individuals are respected and valued. We are an equal opportunity employer and make all employment decisions without regard to race, color, religion, sex, gender identity, sexual orientation, age, national origin, disability, protected veteran status, or any other protected characteristic. We encourage applications from candidates of all backgrounds and are dedicated to building teams that reflect the diversity of our communities.J-18808-Ljbffr