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. This Vice President role partners closely with senior business leaders, HR, and Finance to build scalable, data-driven solutions that improve how HR operates and delivers insight to the business.
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
WHAT YOU CAN EXPECT FROM MORGAN STANLEY:
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.
To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.
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: https://www.morganstanley.com/people-opportunities/eeo.
Skills Required
- Advanced degree in Computer Science or another quantitative discipline
- 6+ years of relevant professional experience
- Proficient in Python for data analysis, modeling, and automation
- Experience with data visualization tools
- Strong understanding of data governance, controls, and model validation
- Strong analytical mindset with ability to synthesize data into insights and recommendations
- Strong communicator who can explain technical concepts to non-technical stakeholders
- Comfort operating across HR domains and partnering with cross-functional teams
- Experience with cloud platforms (Snowflake, AWS)
- Familiarity with automation or workflow platforms (e.g., Power Platform, UiPath)
Morgan Stanley Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Morgan Stanley and has not been reviewed or approved by Morgan Stanley.
-
Parental & Family Support — Family support is extensive, with paid parental leave for all parents, adoption and fertility assistance, backup childcare, and eldercare resources. Feedback suggests these programs meaningfully enhance the overall package and help with retention.
-
Healthcare Strength — Health coverage spans medical, dental, vision, mental‑health access, care navigation, and expert second opinions. Convenient primary care access and condition‑specific support reinforce the depth of healthcare coverage.
-
Equity Value & Accessibility — Equity compensation and stock ownership are positioned as core motivators that encourage commitment and retention. Feedback suggests education and support are provided to help participants manage equity and related financial benefits.
Morgan Stanley Insights
What We Do
Morgan Stanley mobilizes capital to help governments, corporations, institutions and individuals around the world achieve their financial goals. For over 85 years, the firm’s reputation for using innovative thinking to solve complex problems has been well earned and rarely matched. A consistent industry leader throughout decades of dramatic change in modern finance, Morgan Stanley will continue to break new ground in advising, serving and providing new opportunities for its clients. Morgan Stanley is committed to maintaining the first-class service and high standard of excellence that have always defined the firm. At its foundation are five core values — putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back — that guide its more than 60,000 employees in 1,200 offices across 41 countries.
.png)
