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    Enterprise Risk Management Tech Delivery Lead - Bangalore, India - State Street

    State Street
    State Street Bangalore, India

    1 week ago

    State Street background
    OTHER
    Description

    Job Title

    Tech Delivery Lead

    Role Summary & Role Description

    The Lead is responsible to give strong tech leadership to Risk group and closely involved in delivery of all major components. Lead should be reviewing the current state data & application landscape and setting the strategy for the Enterprise Risk Management team's future state architecture to providing direction for delivery of the target state.

    The person appointed will be an integral member of the Enterprise Risk Management Team and will be responsible for the design and implementation of the Portfolio wide data & application strategy, ensuring the strategy supports the current and future business needs.

    They will apply their knowledge of good architecture practice, architecture documentation and data technologies to comprehensively capture the bank's current state data architecture and oversee target state design and implementation.

    The role will involve collaborating with Business, Data Management Office and internal and external IT stakeholders at all levels to ensure the data strategy and associated implementation is adding value to the ERM Business Stakeholders.

    Main duties


    • Lead implementations to provide scalable design, state of the art Development & engineering practices, Automation for Quality assurance & Maintenace in production.


    • Work closely with global & regional Business and Technology stakeholders


    • Participate in org wide initiatives


    • Documenting the detailed data & application architecture for both current and target state


    • Understand and implement data privacy requirements


    • Understand the application architecture and data flow/transformation


    • Capturing the logical & physical data models for both current state and the target state


    • Setting the strategy for architecture to support the Business and IT strategies while maintaining the data architecture principles


    • Lead architecture governance for the portfolio and provide subject matter expert inputs to design decisions across teams within the portfolio


    • Manage holistic roadmap of architecture change initiatives across the coordinating requirements across different initiatives


    • Be a key stakeholder and advisor in all new strategic data initiatives and ensure alignment to the enterprise wide data strategy


    • Build a framework of principles to ensure data integrity across the business


    • Build and maintain appropriate Data Architecture artifacts including; Entity Relationship Models, Data dictionary, taxonomy to aid data traceability


    • Provide technical oversight to Solution Architects in creating business driven solutions adhering to the enterprise architecture and data governance standards


    • Develop key performance measures for data integration and quality


    • Support third party data suppliers in developing specifications that are congruent with the Enterprise data architecture


    • Line management of Lead data professionals, responsibilities will include talent management, appraisals, 1:1s, meetings, identifying and delivering training needs, motivating and performance managing the team


    • To strengthen the team with required skills for high quality delivery of technical solutions and to assist in resourcing decisions


    • To drive consistent standards and approaches throughout the team, building an environment that encourages continuous improvement and innovation

    Knowledge and experience

    Core/Must have skills


    • Strong in enterprise risk management domain for Credit & market risk for deliveries in trading book and banking book.


    • Strong understanding of data pipeline (extract, transform and load) processes and the supporting technologies such as Oracle PL/SQL, Unix Shell Scripting, Python, Autosys, Hadoop Spark & Scala, Databricks, AWS, Azure etc.

    >Excellent problem solving and data modelling skills (logical, physical, sematic and integration models) including normalization, OLAP / OLTP principles and entity relationship analysis

    >Experience of mapping key Enterprise data entities to business capabilities and applications

    >Extensive experience in architecting and implementing enterprise data warehouse, Master data Management, data integration, BI & analytics and data management platforms

    >Experience of creating and implementing data strategies that align with business objectives.

    >Experience of mapping key Enterprise data entities to business capabilities and applications

    >Excellent communication and presentational skills, confident and methodical approach, and able to work within a team environment

    Good to have skills

    >Experience of working in Financial Services

    Qualification:

    • A bachelor's/master's degree in technology or related field.
    • Proficiency in Application architecture, Engineering practices & Big data implementations
    • Understanding of Data Management tools, to mine data, data masking techniques, automate test data generation for test execution
    • Strong engineering skills, including knowledge of languages such as Java (Hive, Apache, Hadoop) and Scala (Apache Spark, Kafka).

    Behavioral

    • Outcome & Execution driven
    • Thoughtful leadership
    • Design for future
    • Quality obsession
    • Good interpersonal skills
    • Excellent verbal & written communication skills
    • Team player
    • Attention to detail and a methodical approach to work
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