Source Job

• Design and implement enterprise data governance frameworks including data quality, metadata, and policy definition.
• Develop end-to-end data architecture and data flow models supporting analytics and AI/ML.
• Lead current-state assessments and build actionable roadmaps for data maturity and AI readiness.

The partner company helps organizations become truly data-driven through data governance and strategy frameworks. Size and culture are not specified in the posting, but the role involves high-impact consulting and collaboration with senior stakeholders.

• Lead enterprise architecture strategy and roadmap for cloud-native, API-first systems.
• Design and evolve modern data platform for analytics, AI, and machine learning.
• Drive modernization initiatives including microservices adoption and platform engineering.

Aven Hospitality is an innovative technology provider powered by SynXis, the leading global hospitality commerce and distribution platform. We empower hoteliers worldwide with tools to manage distribution, retailing, payments, operations, and more, maximizing revenue and guest satisfaction.

• Define and govern the canonical data model and architectural standards for the enterprise data platform.
• Produce and maintain data modeling artifacts including ERDs, source-of-truth mappings, and gold layer dimensional models.
• Partner with stakeholders to align data governance, security, and integration patterns for trusted data delivery.

Wipfli Advisory LLC is a professional services firm focused on delivering exceptional impact through data-driven solutions. With a people-first culture and a focus on flexibility, the company emphasizes relationships and individual growth.

• Define and maintain the enterprise data architecture roadmap to align data strategy with business priorities and technology goals.
• Lead the design of data platforms including data warehouse and lake-house architecture, and champion Data Mesh strategy for domain-oriented ownership.
• Establish standards for data pipelines, transformation logic, and integration frameworks across on-premises and cloud environments.

Lifeway is a Christian mission-driven organization focused on making disciples of Jesus Christ. They foster a Work from Anywhere culture with a strong emphasis on faith, community, and flexibility, serving a medium-to-large team across the U.S.

• Define and drive enterprise-wide data architecture including data warehouses, integration layers, and master data management for scalability and performance.
• Enforce data standards, governance, and metadata management while designing optimized logical and dimensional data models for analytics and BI.
• Provide technical leadership across cross-functional teams, guiding execution of data initiatives and ensuring quality, security, and system reliability.

Jobgether is an AI-powered job matching platform that connects candidates with hiring companies through algorithmic shortlisting. The company operates as a remote-driven global enterprise with a focus on efficient recruitment and data privacy compliance.

• Lead complex data architecture initiatives across clients, defining strategies that connect business goals, semantic logic, and platform realities.
• Serve as a senior advisor on architecture maturity, governance, and scalable design while influencing executive stakeholders.
• Contribute to thought leadership, mentor practitioners, and define reusable frameworks to elevate delivery consistency.

Valtech is the experience innovation company that helps leading global brands unlock value through data, AI, technology, and experience transformation. We have a global, borderless framework and a culture that fosters creativity, diversity, and autonomy.

• Lead enterprise-wide architectural strategy and AI transformation across cloud platforms, developer enablement, and corporate applications.
• Oversee a team of Enterprise Architects to define reference architectures, standards, and guardrails for AI, cloud, and platform capabilities.
• Drive adoption of architectural patterns that offload complexity, reduce technical debt, and improve developer experience and cost efficiency.

HERE Technologies is a location data and technology platform company that empowers customers to achieve better outcomes. A global company, we foster innovation, opportunity, and inclusion in our culture.

• Lead enterprise data and analytics strategy, ensuring alignment with long-term business objectives and organizational priorities.
• Oversee data engineering, reporting, dashboards, semantic models, curated datasets, and analytics platforms to support informed decision-making.
• Partner with business leaders and IT teams to identify high-value initiatives and deliver impactful data solutions.

Jobgether uses AI-powered matching to connect candidates with hiring companies, ensuring fast and fair application reviews. They process personal data for recruitment and may use AI tools to assist in hiring decisions.

• Define and execute the organization's long-term data strategy aligned with business objectives.
• Own the architecture and evolution of the enterprise data platform, covering ingestion, transformation, storage, and data access.
• Build, lead, and develop a high-performing data engineering team while establishing engineering standards and delivery best practices.

Pragmatike is a technology-driven financial services company that leverages data, AI, and modern engineering practices to deliver responsible digital financial products. The organization is scaling rapidly, with data becoming a core strategic capability supporting operational decision-making, customer experience, and regulatory compliance.

• Define and scale the operating system for company truth at Oura, ensuring every decision is powered by a single, trusted version of business reality.
• Partner with leaders across Data, Engineering, Finance, and more to design and run systems that define how Oura measures and acts on its business.
• Own cross-functional programs that connect data infrastructure, metric definitions, and reporting systems into a cohesive truth layer.

Oura empowers people to own their inner potential through award-winning products that provide insights on readiness, activity, and sleep quality. We are a quickly growing company focused on helping people live healthier and happier lives, ensuring our team members have what they need to do their best work.

• Develop machine learning and AI solutions for forecasting, anomaly detection, and operational intelligence.
• Design scalable enterprise data architectures and build ETL/ELT pipelines for analytics and AI workloads.
• Partner with stakeholders to define metrics, lead technical reviews, and mentor team members.

DataDirect Networks (DDN) is a global market leader in AI and high-performance data storage innovation, powering many of the world's most demanding AI data centers across industries like life sciences, healthcare, financial services, and research. With a proven track record of performance and scalability, DDN fosters a culture of innovation, customer-centricity, and passionate professionals committed to excellence.

• Define target-state enterprise data architecture for operational systems and analytical platforms, including AI initiatives.
• Design event-driven integration patterns and reusable data products with clear governance and secure attribute-based access.
• Establish data quality, lineage, and stewardship practices while enabling AI-ready data for machine learning and Generative AI.

Peraton is a next-generation national security company that drives missions of consequence globally and beyond. As a leading mission capability integrator and transformative IT provider, they employ a large workforce serving essential government agencies and all branches of the U.S. armed forces, with a culture focused on solving daunting challenges.

• Leads data architecture strategy and execution, guiding cross-functional teams to deliver sustainable data solutions.
• Facilitates integration of new data sources into the enterprise data platform by managing multidisciplinary implementation teams.
• Builds internal capabilities across data architecture, integration, and governance disciplines.

NAH is a healthcare organization providing medical services and data-driven solutions to improve patient care. It is a large system with a focus on innovation, collaboration, and digital transformation.

• Define and own the enterprise data architecture strategy, including conceptual, logical, and physical data models across core domains.
• Establish and govern data standards, naming conventions, schema design principles, and modeling best practices for data engineering teams.
• Lead the design of scalable, reusable data products in the semantic and analytical layers, ensuring consistency across decision science and self-service consumption.

Goods & Services is a product design and engineering company that solves mission-critical challenges for large enterprises in regulated industries. Headquartered in the US, they operate regional development centers in Mexico and the UK, leveraging a nearshore model for scale and cultural alignment.

• Lead the design and implementation of enterprise data architecture solutions for a large-scale data modernization initiative within the justice domain.
• Collaborate with technical and business stakeholders to define data models, ensure data quality, and enable more efficient access to justice information.
• Support testing and validation of data models, ETL processes, and reporting (including Power BI) for analytical use cases.

Jobgether is a job platform that uses AI-powered matching to connect candidates with hiring companies. It is a technology-driven recruitment service focused on efficient and objective candidate evaluation.

• Lead enterprise AI transformation engagements from strategy through architecture and value realization.
• Design end-to-end solution architectures spanning Now Assist, AI Agents, and enterprise integrations.
• Define AI governance frameworks and data catalog strategies to ensure responsible and scalable adoption.

ServiceNow is a global market leader providing an AI-enhanced cloud platform to over 8,100 customers, including 85% of the Fortune 500®. They foster a culture of innovation and purpose to make the world work better for everyone.

• Design and maintain enterprise data architecture to support EHRM reporting platforms and analytical tools.
• Develop and enforce data governance practices including metadata management and data lineage.
• Collaborate with cross-functional teams to translate business requirements into scalable data solutions.

Aptive partners with federal agencies like Veterans Affairs and Homeland Security to improve performance and service delivery through technology and human-centered services. Founded in 2012, the company has over 300 employees and emphasizes innovation and mission-driven culture.

• Define and own the strategic architecture of Foodsmart's data platform, setting technical direction for scalable and governed data infrastructure.
• Lead design and implementation of next-generation data pipelines, data models, and platform capabilities for advanced analytics and machine learning.
• Establish company-wide standards for data quality, governance, security, and compliance, acting as a cross-functional technical leader.

Foodsmart is the leading Foodcare platform in the U.S., delivering nutrition-driven healthcare at scale through a national network of Registered Dietitians. The company serves over 3 million members, secured a $200 million investment in 2024, and values a customer-first, collaborative culture.

• Design and develop enterprise data models and Snowflake architectures to support insurance analytics and business intelligence.
• Collaborate with cross-functional teams to modernize data ecosystems and implement ELT/ETL pipelines using AWS and Medallion architecture.
• Integrate Guidewire data across PolicyCenter, ClaimCenter, and BillingCenter to ensure high-quality, governed data assets.

This company provides data modeling and engineering solutions for the Property & Casualty insurance industry, specializing in cloud-based data platforms. It fosters a collaborative and inclusive culture with a focus on remote work and professional growth.

• Drive platform strategy and architecture for the Enterprise Data Platform using Snowflake, dbt, and Matillion.
• Embed AI into data analytics by designing pipelines and RAG systems to transition teams into AI-ready units.
• Enable self-service and mesh architecture while implementing robust governance and observability frameworks.

Zscaler accelerates digital transformation by providing cloud-native security solutions that protect customers from cyberattacks and data loss. The company fosters a culture of execution centered on customer obsession, collaboration, and accountability, with a focus on high-impact work.