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    Morgan Stanley logo

    Lead Data & Analytics Eng - Vice President

    Morgan Stanley · Bengaluru · onsite · Posted 52d ago

    Not disclosed10–12 yrsfulltimeSourced fromFoundit

    About a minute. You'll make an account on the way through.

    About this role

    We're seeking someone to join our CDRR Technology team as a Lead Full Stack Engineer/Technical Manager position, in Non-Financial Risk Technology to deliver hands on contributions for firm's Assurance & Legal Technology platforms.

    This is a leadership role focused on developing and designing Core Platform Services to help drive program automation and strategy. The successful candidate collaborates with global teams to understand requirements, develop high-quality code, and deliver impactful projects. Attention to detail and a strong sense of ownership are essential for delivering high-quality applications.

    In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities.

    This is Vice President position, which is part of the job family responsible for developing and maintaining software solutions that support business needs.

    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

    • > Lead end-to-end delivery of strategic data products and curated datasets supporting AML, Investigations, ECRR, SCV, OFAC and other FCT programs.
    • > Own technical architecture and roadmap for data platforms, pipelines, semantic models and data products.
    • > Partner with Product Owners, Data Governance, Data Certification, and business stakeholders to translate business requirements into scalable data solutions.
    • > Drive adoption of data quality controls, reconciliation frameworks, observability, and certification processes.
    • > Lead ontology-driven and metadata-driven data engineering approaches where applicable.
    • > Mentor engineers and establish engineering standards, design reviews, and operational excellence practices.
    • > Drive AI-enabled engineering productivity and automation across data ingestion, lineage, mapping, and documentation processes.
    • > Manage delivery risks, dependencies, technical debt, and production support priorities.

    What You'll Bring To The Role

    • > Strong analytical and troubleshooting skills
    • > At least 5 years financial industry technology experience and knowledge of financial services data
    • > Good verbal and written communication skills
    • > 10+ years of experience in data engineering and data platform development.
    • > 3+ years leading engineering teams or technical initiatives.
    • > Expert in Python, PySpark, SQL, and distributed data processing.
    • > Strong experience with cloud-native data architectures and large-scale ETL frameworks.
    • > Data modeling, dimensional modeling, and data product design.
    • > Reasonable stakeholder management and communication skills

    Desired Skills

    • > Knowledge Graph / RDF / Ontology modeling.
    • > Graph databases (Stardog, Neo4j, GraphDB)
    • > Iceberg, Delta Lake, Medallion Architecture
    • > Experience and Understanding of Data Quality Rules and Implementation

    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.

    Sourced from foundit

    Skills

    large-scale ETL frameworksRDF Ontology modelingMedallion ArchitectureDeltaNeo4JDimensional Modelinggraph databasesGraphDBicebergDistributed Data ProcessingKnowledge graphData quality rulesData Product DesignPysparkPythonSQLData ModelingStardogCloud-native Data Architectures

    About Morgan Stanley

    Morgan Stanley logo

    Morgan Stanley

    Financial Services

    16.0k+

    employees

    1931

    95 years old

    New York, New York

    United States (USA)

    About

    Morgan Stanley helps individuals, families, institutions, and governments raise, manage and distribute the capital they need to achieve their goals.

    Industries

    Financial Services

    Employee ratings

    2,050 reviews

    3.6/ 5

    Culture

    3.6

    Career growth

    2.8

    Work-life

    3.6

    Employees rate it well for

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