Vice President, Human Resources Strat​/Engineer

What You'll Do in the Role

As a Human Resources Strat/Engineer, you will design, build, and own the tools and data‑driven solutions that power HR decision‑making across your assigned functional area. You will combine deep technical capability with strategic thinking – using data engineering, automation, and modern tooling to reshape how workforce and operational data are modeled, visualized, and consumed by senior leadership.

• Design and build data models, applications, and automated workflows that support critical HR and business decisions.
• Lead core HR process cycles (e.g., compensation, workforce planning, talent reviews), providing end‑to‑end technical and analytical support across planning, execution, and governance.
• Own workforce analytics, modeling, and competitive benchmarking across assigned HR domains.
• Build and maintain automated reporting and data workflows, ensuring both security and recovery mechanisms.
• Partner with senior business leadership on workforce planning, hiring strategy, and resource allocation – translating business questions into data‑driven answers.
• Evaluate and deploy emerging technologies (e.g., GenAI, AI agents, workflow automation) to enhance HR’s analytical and operational capabilities.

• Engineer and maintain scalable data solutions that underpin HR reporting and analytics.
• Build and iterate on visualization tools for headcount, workforce expense, hiring, attrition, and other key HR metrics.
• Deliver self‑service analytics reporting to business unit stakeholders on hires, terms, incumbents, workforce events, and other operational data.
• Identify opportunities to improve HR processes through better tooling, automation, and smarter use of available technology and data.
• Stay current on cloud platforms, data engineering practices, and AI/ML capabilities relevant to HR.

• Advanced degree in Computer Science or another quantitative discipline.
• 6+ years of relevant professional experience.
• Experience with cloud platforms (Snowflake, AWS) is an advantage.
• Strong analytical mindset with ability to synthesize data from multiple sources into clear insights and recommendations.
• Proficient in Python for data analysis, modeling, and automation.
• Experience with data visualization tools.
• Familiarity with automation or workflow platforms (e.g., Power Platform, UiPath) is a plus.
• Strong understanding of data governance, controls, and model validation.
• Strong communicator who can explain technical concepts to non‑technical stakeholders.
• Comfort operating across HR domains and partnering with cross‑functional teams in a fast‑paced environment.

Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.

Our workforce reflects a broad cross‑section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.

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