Future Standard
HR Technology
VP,Engineering–HRTechnology
Neural analysis suggests this role is
optimal for Executive candidates.
“VP, Engineering – HR Technology at Future Standard. Skills: HR Technology, Platform Engineering, Data Architecture. Lead technical strategy. Lead architectural direction”
What You'll Achieve.
Ensure sensitive data is accurately modeled; Ensure sensitive data is responsibly governed; Ensure sensitive data is reliably delivered
Industry & Context.
System design tradeoffs
What They're Looking For.
Must Have
Bachelor's degree in Computer Science, 5-8 years software engineering experience, Hands-on development in enterprise-scale systems, Proficiency in Python or Java, Deep experience with relational databases, Experience with NoSQL stores, Experience with complex query design, Experience working with HR data, Experience with sensitive-data handling, Experience with HRIS integrations, Experience with secure data-exchange patterns, Ability to build employee lifecycle data platforms, Ability to build compensation structures platforms, Ability to build organizational hierarchies platforms, Ability to build talent-management workflows platforms
Nice to Have
Experience with AWS, Experience with Azure, Experience with infrastructure-as-code, Experience with cloud-native services, Experience with Snowflake, Experience with PowerBI, Experience with analytical data platforms, Prior experience supporting HR operations technology, Working knowledge of HR Information Systems, Experience integrating HR data with enterprise analytics, Experience integrating HR data with financial systems, Experience integrating HR data with operational platforms, Stakeholder management skills, Communication skills, Ability to influence senior business leaders
What You'll Do.
Lead technical strategy
Lead architectural direction
Lead delivery of HR data
Lead delivery of people operations data
Lead delivery of workforce-analytics data
Serve as senior technical partner
Translate workforce requirements
Translate compensation requirements
Translate organizational requirements
Develop secure technical solutions
Develop scalable technical solutions
Partner with HR stakeholders
Partner with Technology stakeholders
Ensure employee data is modeled
Ensure employee data is governed
Ensure employee data is delivered
Lead full-stack platforms
Build full-stack platforms
Remain hands-on with code
Drive Low-Level Design
Own High-Level Design
Drive High-Level Design
Architect secure systems
Develop secure systems
Architect compliant systems
Develop compliant systems
Maintain scalable APIs
Support internal API consumers
Support external API consumers
Drive security requirements
Drive availability requirements
Drive scalability requirements
Drive resiliency requirements
Drive performance requirements
Drive observability requirements
Lead HR engineering initiatives
Lead people-operations engineering initiatives
Lead workforce-analytics engineering initiatives
Ensure secure data ingestion
Ensure data governance
Ensure data integration
Partner with HR teams
Partner with Talent teams
Partner with People Analytics teams
Translate workforce-planning requirements
Translate compensation requirements
Translate performance-management requirements
Translate organizational-design requirements
Implement data-quality controls
Implement data-lineage controls
Implement data-privacy controls
Ensure regulatory compliance
Ensure contractual compliance
Ensure internal governance compliance
Partner with product stakeholders
Partner with data stakeholders
Translate investment requirements
Translate operational requirements
Provide technical leadership
Provide hands-on guidance
Demonstrate understanding of data structures
Demonstrate understanding of algorithms
Demonstrate understanding of system design tradeoffs
How You'll Work.
Team & Collaboration
Partner with HR leadership; Partner with Technology leadership; Partner with HR stakeholders; Partner with Technology stakeholders; Partner with HR teams; Partner with Talent teams; Partner with People Analytics teams; Partner with product stakeholders; Partner with data stakeholders
Communication Scope
Influence senior leaders
Full Job Description
Future Standard is seeking a Vice President, Engineering – HR Technology to lead the technical strategy, architectural direction, and delivery of HR, people operations, and workforce‑analytics data across the firm. This role serves as a senior technical partner to both HR and Technology leadership, bridging business priorities and engineering execution. The ideal candidate is an experienced engineering leader with a strong hands‑on foundation, capable of translating complex workforce, compensation, and organizational requirements into secure, scalable technical solutions. The Vice President will guide architecture and implementation while partnering closely with HR and Technology stakeholders to ensure sensitive employee data is accurately modeled, responsibly governed, and reliably delivered in support of decision‑making, compliance, and long‑term business needs. THE SUCCESSFUL CANDIDATE IS EXPECTED TO: — Lead and build full‑stack, enterprise‑grade platforms using Python, Java, Spring Boot, ReactJS, and SQL/NoSQL databases, while remaining hands‑on with code. — Own and drive Low‑Level Design (LLD) and High‑Level Design (HLD) with deep understanding of distributed systems, data modeling, and integration patterns. — Architect and develop secure, compliant systems. — Design, build, and maintain scalable APIs that support internal and external consumers with high performance and reliability. — Drive non‑functional requirements including security, availability, scalability, resiliency, performance, and observability. — Lead engineering initiatives involving HR, people‑operations, and workforce‑analytics data, ensuring secure ingestion, modeling, governance, and integration of sensitive employee datasets across the firm’s technology ecosystem. — Partner with HR, Talent, and People Analytics teams to translate workforce‑planning, compensation, performance‑management, and organizational‑design requirements into scalable technical solutions and data products. — Implement ro
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