Compliance Data Mgmt Lead - VP

JPMorgan Chase & Co.

Bengaluru

On-site

INR 3,500,000 - 7,000,000

Full time

14 days+
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Job summary

JPMorgan Chase & Co. in Bengaluru invites a Vice President to lead the Data Strategy Team, driving governance and data product ownership for CCOR. You will coordinate with data owners and technology partners to design governed data assets that power decision-making and innovation.

Lead delivery for CCOR Data Lake, manage risks, mentor cross-functional teams, and communicate complex data concepts to both technical and business audiences.

Qualifications

  • 5+ years of experience in data management, governance, risk analytics, or related field.
  • Proven leadership with delivery timelines and goals.
  • Understanding of data governance, lifecycle management, protection, quality and classification.
  • Excellent analytical and problem-solving skills; translate data concepts to business.
  • Strong communication with technical and non-technical stakeholders, incl. senior audiences.
  • Proven ability to lead cross-functional teams and manage large data projects.
  • Experience with large-scale data lake/warehousing initiatives; data modeling knowledge.

Responsibilities

  • Deliver data solutions that support operations and strategic objectives.
  • Own one or more CCOR data products: requirements, design, test, prioritization.
  • Manage project milestones, risks, bottlenecks, and delivery quality.
  • Collaborate to document data meaning and metadata for governance.
  • Identify, monitor, and mitigate data risks across lifecycle.
  • Partner with CDO & tech teams to design tools and processes for data management.
  • Develop prototypes for data visualization, analytics & automation with CCOR teams.
  • Communicate data issues clearly and maintain data integrity and trust.
  • Mentor and guide staff in data-related tasks and initiatives.

Skills

Data governance
Data management
Leadership
Communication
SQL
Data lake
Data warehouse
Analytics
Project management
Stakeholder management

Education

Bachelor's degree in Data Science, CS, IS, Data Analytics, or related field

Tools

SQL
Tableau
Databricks
Snowflake
AWS
Azure
GCP

Job description

Who we are:

Bring your expertise to JPMorgan Chase. As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class.

As a Vice President within the Data Strategy Team, you are part of the CCOR data management organization, you will play a pivotal role in executing data strategies that drive business operations and strategic objectives. Data Product Managers serve as subject matter experts, coordinating between providers and consumers to design fit for purpose, well governed data products to solve business needs. By leading efforts to mitigate data risks and enhance data quality, you will ensure data serves as a trusted asset for decision-making and innovation. Your leadership will foster a data-driven culture that supports organizational growth and competitive advantage. You will be working closely with CCOR Business leaders, CCOR ML, Analytics & Dashboarding teams, CCOR CDO and CCOR technology partners to determine appropriate strategies to manage and leverage CCOR data to drive innovation. Also oversee delivery of a central data platform which is critical part of CCOR data strategy to enable the innovation agenda using AI/ML, advanced analytics & automation.

Job Responsibilities
  • Implement strategic plans to deliver data solutions that effectively support business operations and strategic objectives, to align with organizational goals
    • Provide Data product ownership for one or more CCOR data product lines for implementation of CCOR Data Lake, including functional requirements capture, Product design, test planning and oversight, prioritization of work, and working with technology partners throughout development to ensure clear understanding of requirements and quality of delivery.
    • Manage the execution of projects and related milestones, understand and mitigate risks, bottlenecks, and inefficiencies throughout the project/ initiative
    • Collaborate with key partners to ensure that critical data is well-documented as to its meaning and purpose, and classified accordingly with metadata to enable its understanding and control
    • Develop and oversee processes to identify, monitor, and mitigate data risks throughout the data lifecycle, addressing issues related to data protection, retention, storage, use, and quality
    • Partner with CDO & technology teams to design & develop tools & processes for effective data management
    • Develop prototypes for data visualization, data analytics & automation in partnership with other CCOR Digital teams & product owners
    • Communicate and resolve data issues in a timely and consistent manner, maintaining data integrity and consumer trust
    • Manage and guide direct or matrixed staff in executing data-related tasks and initiatives
Required qualifications, capabilities, and skills
  • Bachelor's degree in Data Science, Computer Science, Information Systems, Data Analytics, or a related field, OR equivalent professional experience in data management, data governance, or a related field
    • 5+ years of experience in data management, data governance, risk management/analytics, or a related field
    • Proven leadership track record, demonstrated ability to manage delivery timelines, and ensure the organization is on track to meet goals
    • In-depth understanding of data management principles, governance frameworks, and lifecycle management, including data protection, data quality and data classification
    • Excellent analytical and problem-solving skills, translating complex data concepts into business strategies
    • Strong communication skills, effectively conveying data concepts to technical and non-technical stakeholders, as well as senior audiences
    • Strong leadership skills with experience in managing and mentoring cross-functional teams
    • Proven ability to build and maintain relationships with key stakeholders and manage large-scale data projects
    • Experience working on large scale data lake / data-warehousing projects
    • Knowledge of data and process modeling techniques is required
    • Hands on SQL writing knowledge is required.
Preferred qualifications, capabilities, and skills
  • Experience with Tableau, QlikView, Thoughtspot or other reporting and analytics tools is a strong plus
    • Experience with AI/ML techniques is plus.
    • Experience with cloud-based data platforms and technologies, such as Databricks, Snowflake, AWS, Azure, or Google Cloud is a strong plus
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