Future Standard

HR Technology

VP,EngineeringHRTechnology

$150–185k New York, New York, United States
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Executive candidates.

The Brief

“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.

HR Technology
Problems you'll solve

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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