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Were seeking someone to join our team as an experienced Vice President - HR Strats / Data Engineer in Bengaluru to lead HR Service Delivery automation initiative to drive smarter workforce decisions. This role partners closely with senior business leaders, HR, and Technology to build scalable, data-driven solutions that improve how HR operates and delivers insight to the business. The individual will drive Process Optimization, AI Adoption, and Operational Transformation in HR. This role partners with senior Business, COO, HR, and Technology leadership to identify high-impact opportunities, accelerate GenAI adoption, and build data-driven solutions that power decision-making combining consulting-style problem solving with hands-on technical depth. In the Human Capital Management division, we provide advice and insight to attract, retain, reward and develop a talented global workforce, giving employees the support and tools, they need to succeed. This is a Vice President level position within the HR Employee Services team which provides day-to-day support and strategic advice to stakeholders across the entire employee life cycle, including but not limited to compensation processes, employee relations, performance evaluation, talent management and diversity & inclusion initiatives. Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world. What you'll do in the role: Design, build, test, and deploy internal HR applications and tools with user interfaces, business logic, workflow, and data. Lead core business/HR process cycles (compensation, workforce planning, talent reviews) end-to-end. Own the full product and development lifecycle, from discovery and requirements through architecture, implementation, and ongoing enhancement. Develop backend services, APIs, data pipelines, and integrations that connect HR applications to enterprise data platforms and source systems using Python, SQL, Snowflake, and other approved enterprise technologies. Partner with senior business leadership, HR, and technology teams to translate workforce and operating needs into product requirements, technical designs, and prioritized roadmaps. Apply software engineering practices including version control, code review, automated testing, deployment controls, and observability. Evaluate and deploy emerging technologies (e.g., GenAI, AI agents, workflow automation) to enhance HRs analytical and operational capabilities. Build cross-functional relationships, influencing stakeholders across units and geographies. Develop and maintain production-grade HR applications and reusable services, with clear ownership for reliability, performance, security, and user experience. Create intuitive end user interfaces and workflow experiences for HR processes. Integrate applications with governed HR and workforce data, implementing validation, access controls, auditability, and appropriate handling of sensitive information. Work directly with users to prototype solutions, gather feedback, prioritize enhancements, and drive adoption. Improve application architecture and development practices, and stay current on cloud, software engineering, data platform, and AI capabilities relevant to HR. Stay current on cloud platforms, data engineering practices, and AI/ML capabilities relevant to HR. What you'll bring to the role: Bachelor's degree in Computer Science or another quantitative discipline; advanced degree preferred. Experience in hands-on delivery of software applications, internal tools, or workflow products used by business stakeholders. Strong analytical mindset with ability to synthesize data from multiple sources into clear insights and recommendations. Strong Python and SQL development skills, with experience applying Python in production applications, services, or data workflows. Experience with web application architecture, APIs, source control, testing frameworks, and modern software development practices. Strong understanding of data governance, controls, and model validation. Strong communicator who can translate between technical and non-technical stakeholders and turn ambiguous business problems into working products. Comfort operating across HR domains and partnering with cross-functional teams in a fast-paced environment. 5+ years in Consulting, Transformation, Automation, AI Enablement, or Operational Excellence. Track record of leading cross-functional programs and driving measurable outcomes at scale. Lean Six Sigma, Agile, or AI certifications desirable. Experience with cloud platforms (Snowflake, Azure, AWS) is an advantage. At least 10 years' relevant experience would generally be expected to find the skills required for this role WHAT YOU CAN EXPECT FROM MORGAN STANLEY: At Morgan Stanley, we raise, manage and allocate capital for our clients helping them reach
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.