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. Key Responsibilities 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. Day‑to‑Day Focus 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. What You'll Bring to the Role 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. For more information, please visit: #J-18808-Ljbffr PowerToFly