Product Manager - Marketing Data Platforms at JPMC Candidate Experience page

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

12 May, 26

Salary

0.0

Posted On

11 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Product Management, Data Analysis, SQL, Alteryx, Tableau, Excel, Data Visualization, Problem Solving, Critical Thinking, Market Research, Product Strategy, Customer Solutions, Data Integrity, User Stories, Collaboration, Marketing Analytics, Data Governance

Industry

Financial Services

Description

You enjoy shaping the future of product innovation as a core leader, driving value for customers, guiding successful launches, and exceeding expectations. Join our dynamic team and make a meaningful impact by delivering high-quality products that resonate with clients. As a Product Manager in Marketing Data Platforms, you are an integral part of the team that innovates new product offerings and leads the end-to-end product life cycle. As a core leader, you are responsible for acting as the voice of the customer and developing profitable products that provide customer value. Utilizing your deep understanding of how to get a product off the ground, you guide the successful launch of products, gather crucial feedback, and ensure top-tier client experiences. With a strong commitment to scalability, resiliency, and stability, you collaborate closely with cross-functional teams to deliver high-quality products that exceed customer expectations. Job responsibilities Develops a product strategy and product vision that delivers value to customers Manages discovery efforts and market research to uncover customer solutions and integrate them into the product roadmap Owns, maintains, and develops a product backlog that enables development to support the overall strategic roadmap and value proposition Builds the framework and tracks the product's key success metrics such as cost, feature and functionality, risk posture, and reliability Identify opportunities across all CCB LOBs for modern technologies, such as agentic AI, to help optimize marketing outcomes Apply hands-on data analysis skills, leveraging tools like SQL, Alteryx, Tableau, and Excel to explore data, troubleshoot issues, and validate data integrity Build data-driven proof-of-concepts to test hypotheses and inform product development decisions Translate business needs into clear, concise, and technically informed requirements for epics and user stories to be consumed by an engineering team Partner with marketing analytics, growth teams, and other stakeholders to understand their data needs and ensure the data solution(s) enable their objectives Manage relationships and technical interactions with third-party vendors Required qualifications, capabilities, and skills 5+ years of experience or equivalent expertise in product management or a relevant domain area Advanced knowledge of the product development life cycle, design, and data analytics Proven ability to lead product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management Demonstrated strong proficiency in SQL for complex data querying, analysis, and validation Hands-on experience with data manipulation and transformation tools such as Alteryx, Tableau Prep, or Dataiku Experience utilizing data visualization tools like Tableau and spreadsheet software like Excel Experience in translating complex data requirements and business needs into actionable product specifications and user stories Strong analytical, problem-solving, and critical thinking skills with a data-driven mindset Preferred qualifications, capabilities, and skills Demonstrated prior experience working in a highly matrixed, complex organization Experience with scripting languages (e.g., Python) for data manipulation, automation, and/or interacting with APIs Direct experience working with data from Mobile Measurement Partners (MMPs), Multi-Touch Attribution (MTA) providers, and/or aggregated campaign reporting platforms Familiarity with cloud-based data warehousing or data lake solutions (e.g., Snowflake, Google BigQuery, Amazon AWS) Understanding of data modeling, schema design, and/or data governance principles Experience working with data specifically used for A/B testing or marketing experimentation Deeper domain knowledge within the marketing analytics or advertising technology ecosystem JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.

Responsibilities

Develop product strategy and vision while managing the product life cycle. Collaborate with cross-functional teams to deliver high-quality products that meet customer needs.