Data Product Manager - HSBC - New York, New York - EXPIRED
This is an archive of an expired job.
Job Information:
Company: HSBC
North America-United States-New York-New York
HSBC Bank USA is a market leading financial solutions provider to the world’s most successful companies. Our clients are the game changers fueling the global innovation economy and transforming the way we live and work. Come join a growing, global commercial bank at the heart of the innovation economy where you will be able to help bring our clients’ world-changing ideas to life.
The role: Data Product Manager within the Sales Intelligence team, you will be a key contributor to the company’s implementation of a leading-edge data products practice, including building cutting edge analytics solutions. You will make a direct impact on the client experience, delivering innovative data products to help HSBC Bank understand and improve our clients’ experiences and increase their probability of success.
Be a data storyteller, deliver practical data insights in a compelling manner to various stakeholders across the Bank. Articulate findings clearly and concisely including presentations, discussions and visualizations. Take a proactive approach to problem solving, taking ownership of issues and having the determination to follow things through. Mindset – Willingness to roll up sleeves and do whatever it takes to build something of significance.
- Analytical thought leader - You can define the analytical agenda for a new product, frame ambiguous business questions into analytical plans (e.g., assess user needs, create new features, evaluate quality, etc.), and execute.
- Design data solutions that enable our business partners to better understand our clients and prospects. Demonstrated experience bringing a product to market using an Agile approach to development.
- Ability to communicate business needs to the development team, can articulate value propositions, and are driven by the “why” when creating product roadmaps
- Take a collaborative approach to problem solving, engage a diverse stakeholder group to work through product ideation to deployment
- Collaborate with functional leads in Data Engineering, Data Science, and Architecture to build best-in-class research products and services
- Manage the strategic and tactical decisions for the product to provide product vision clarity
- Create and manage effective Go to Market strategies to ensure successful adoption of new product offerings
- Establish and analyze metrics and user feedback to continuously improve the product
- Monitor and analyze key performance indicators to better facilitate the product decision making process
- Able to translate ambiguous business problems into a structured, conceptual framework
- Create and deliver clear, compelling presentations to business partners that demonstrate the power of your analytic solutions
- Actively contribute to the continuous learning mindset of the organization by bringing in new ideas and perspectives that stretch the thinking of the team
- Develop presentations to summarize and communicate key messages to senior management sponsors and colleagues
- Highly motivated, productive, and teamwork oriented
- Effective communication and presentation skills. Can work both independently and collaboratively.
- Good management skills (clear goal setting, well-organized, detailed planning, and ability for tight-timeline deliverables). Strong in on-time delivery. Experience in different SDLC tools, including Agile methodology and Design Thinking practices.
- Passionate about continuous learning and professional development
- Deeply curious; creative and imaginative
- Ability to influence and become a trusted advisor
- Ability to convey complex concepts to non-technical audiences
- 5-8 years of proven experience as a product manager, data analyst, business analyst, or similar role
Qualifications
- Bachelors degree in Finance or STEM discipline
- Product Management experience (preferably in Agile/SCRUM environment) with a strong track record of performance at an individual level
- Experience with data visualization tools such as Tableau, Qlik Sense, R Shiny, and Looker
- Experience with search solutions (ElasticSearch, Lucene, Solr, Attivio)
- Familiar with CI/CD build pipelines and toolchain Jira, Git, Artifactory
- Experience with software/data solutions that power open application frameworks
- Familiar with statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms
- Familiar with potential applications of machine learning, deep learning and its applications
- Experience influencing teams in a global, cross-functional environment and building rapport with all levels of the organization
- Experience working within Fintech or a search product is desired
- Experience and/or education in financial services and, in particular, in commercial banking
If you would like to notify the Diversity Recruitment team of your application or if you are simply interested in learning about opportunities at HSBC, please email [email protected]
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