Vice President, Human Resources Strat/Engineer

About the role

Morgan Stanley Human Resources is seeking an experienced Strat/Engineer in New York to lead and evolve how HR leverages data, technology, and automation to drive smarter workforce decisions.

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

Requirements

• 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
• Familiarity with automation or workflow platforms (e.g., Power Platform, UiPath)
• 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

Qualifications

• Advanced degree in Computer Science or another quantitative discipline
• 6+ years of relevant professional experience

Skills

• 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
• Familiarity with automation or workflow platforms (e.g., Power Platform, UiPath)
• 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

Benefits

• At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals.
• We do it in a way that’s differentiated – and we’ve done that for 90 years.
• Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries.
• At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered.
• Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences.
• We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry.
• There’s also ample opportunity to move about the business for those who show passion and grit in their work.

Pay

Expected base pay rates for the role will be between $120,000 and $210,000 per year at the commencement of employment.

However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.

Schedule

Not specified.