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Immediate opening for Data Governance and Quality - Associate

3.00 to 8.00 Years   Mumbai City   23 May, 2023
Job LocationMumbai City
EducationNot Mentioned
SalaryNot Disclosed
IndustryBanking / Financial Services
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

    J.P. Morgan Asset Management is committed to providing exceptional service to our clients and business partners. Our sales and client service teams, marketing support, and product specialists, are dedicated to the support of our clients and leverage the capabilities of our global firm to deliver to our clients. We provide an integrated approach to client servicing in order to meet the client s full range of investment and servicing needs. Each new client is assigned to a Client Service team which consists of a Client Advisor, Client Account Manager, Portfolio Manager and Investment Specialist.As a Data Governance Professional in our Data Management Team, you will be working with a global team responsible to implement the end to end Data Governance. With your knowledge of Data Management, Business Intelligence, analytical and technical skills, you will be able to implement Data Quality & Data Governance strategies that will improve & maintain the quality of our data & benefit the Asset Management business. Job Responsibilities
    • Provide ongoing business support to the users of Asset Management Customer Relationship Management platform and undertake business process engineering initiatives. Apply critical thinking to troubleshoot issues, proactively identify and develop new ideas / innovations that will add value to the business and team
    • Provide deep knowledge of application / data warehouse functionality and requirements and participate in workshops, planning and execution
    • Strong knowledge of data architectures, ability to understand data flows and implement effective data management techniques (includes data wrangling, UATs, Bulk Upload, monitoring/reconciling data feeds from various sources and ensuring smooth transition over into the systems)
    • Oversee conceptual, logical and physical data models that conform to standards and conventions to create and enforce policies with regards to data acquisition, rationalization, maintenance and modifications for internal and external data sources
    • Data Stewardship - Support strong data governance and management to ensure compliance with data standards and a single client view is maintained. Develop consistent data definitions, define data golden sources and created standardization.
    • Using Data Quality tools, build, test, and execute logical business rules for quality based on the requirements as defined by data owners.
    • Ability to interpret system / business requirements and prepare specification and design document and execute ongoing release management to continuously enhance the solution; act as a link between the business stakeholders and Technology / vendor during the design, build, test and implementation phases
    Required qualifications, capabilities and skills
    • At least 3-8 years of relevant industry experience and knowledge of sales process, MBA (Finance)/Engineering is required.
    • Strong academic background with established analytical, programming and technical skills (Certifications in Customer Relationship Management , Data Management & Business Intelligence domain is preferable)
    • Experience working with an industry recognized Customer Relationship Management platform (Salesforce.com is a plus)
    • Experience with databases and data analysis software proficiency with SQL/Python/BO/Alteryx is a plus
    Preferred qualifications, capabilities and skills
    • Understanding of Asset Management business (Investment Management, Mutual Funds, Managed Accounts, and/or Separate Accounts) preferable
    • Ability to delve into details with a view to proactively solve issues, develop new ideas and add value to existing functions
    • Strong project management skills
    • Ability to analyze large data sets, summarize findings and recommend feasible solutions and explain complex ideas and methods to business partners is essential
    ,

Keyskills :
data qualityquality toolsdata analysisdata modelscustomer relationship management

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