JPMorgan Data Owner Director - Marketing Automation Platforms 

India, Karnataka, Bengaluru 

761477145

As a Data Owner of Marketing Automation Platforms at JP Morgan Chase within Data & Analytics unit you will strategize and execute on data initiatives that will help accelerate marketing analytics, improve customer experience and drive meaningful impact towards the firms key strategic priorities while ensuring good data quality and governance. One will be accountable for all data in the Marketing Automation Platform product that is created, provisioned, or consumed to support strategic business objectives, advanced analytics, business operations, and reporting. As Lead Data Owner you will be collaborating with the Product Owner, design lead, and technology lead to ensure that the product delivers data in a manner consistent with the quality and safety requirements of the business. You will also partner with aligned Data & Analytics lead to drive increased business value through the identification of data required to support advanced analytics outcomes such as customer segmentation, personalization, and insights. Data Owners serve as subject matter experts, coordinating between providers and consumers to ensure business data is understood, fit for purpose, and integrated into analytics platforms and are also accountable for identifying and mitigating data risks throughout the data life cycle in compliance with firm-wide policies and standards.

Job Responsibilities

• Define and execute a strategy for the development and delivery of product data to support strategic business objectives, business operations, advanced analytics, and metrics and reporting.
• Drive a strong understanding of the data and its use within the business and across lines of business and functions, through collaborative partnerships with multiple stakeholders, including Product Owners, analytics leads, and business process owners. Provide subject matter expertise with respect to the content and use of data in the product and associated business area.
• Identify and prioritize the scope of critical data within their product, ensuring that the prioritized data is well-documented as to its meaning and purpose, and classified accordingly with metadata to enable its understanding and control
• Partner with the aligned Data & Analytics lead for their product to drive advance analytics, machine learning and AI initiatives by identifying and enabling the data required for various initiatives
• Establish expectations for the required accuracy, completeness, and timeliness of data within the product, and coordinate and influence internal and partnered resources to deliver data quality requirements
• Prioritize resources to resolve identified data issues in a timely and consistent manner that maintains data consumer trust
• Direct the development of processes and procedures to identify, monitor, and mitigate data risks for data in the product, including risks related to data protection, data retention and destruction, data storage, data use, and data quality
• Develop and maintain deep relationships with product data delivery partners and data consumers, including senior leaders in the Business, Technology, Analytics, Operations, Risk and Control functions across lines of business.
• Effectively drive teams toward a robust set of execution milestones. Understand and mitigate risks, bottlenecks, and inefficiencies in the product development lifecycle with respect to data and ensure that the execution adheres to firm wide policies, procedures and standards
• Demonstrate governance by ensuring that: (a) work streams and initiatives are tracked and actively managed, (b) KPI’s are agreed, measured and tracked, (c) deliverables are properly prioritized and sequenced, (d) risks are addressed and status measured, and (e) deliveries are successful
• Manage direct or matrixed staff to execute specific data-related tasks

Required qualifications, capabilities, and skills

• 8+ years of experience or equivalent expertise delivering products, projects, or data related technology applications
• Experience managing delivery across multiple work streams with varying timelines, priorities and complexities.
• Technical knowledge of data architecture, data management and governance on cloud platforms
• Good understanding/ experience on marketing data - email, print, paid media, SEO etc.
• Demonstrated ability to manage tight delivery timelines, and ensure our product and organization is on track to execute and deliver strategic changes that meet our goals.
• Proven ability to execute via successful internal partnerships with other organizations – with the ability to influence people at all levels across a broad variety of job functions.
• Excellent leadership skills – of product, programs, projects, teams and/or employees.
• Structured thinker and effective communicator with the ability to crisply articulate complex technical concepts to senior audiences with poise and confidence.

• Understanding of Agile technological development methodology.

qualifications, capabilities, and skills

• Master’s degree preferred
• Knowledge of Machine learning and Gen AI tools and capabilities