Data Product Manager - IT

Data Product Manager

Location: Multiple Location

Experience: 3 - 6 Years

JD:

- Passion for data is a must

- 3-5 years of Product Management work experience or equivalent experience at a technology company

- Strong data analytics background with a demonstrated ability to translate business needs into impactful outcomes.

- Working knowledge of business intelligence/reporting tools such as Tableau & Quick sights with related experience analyzing data as well as writing queries (SQL) and reports

- Exposure to Big Data is a must. Hadoop, AWS or similar/related technologies is must

- Must have the ability to think analytically about products and to do some data analysis

- Experience and understanding of the data lifecycle; sourcing, ingestion, maintenance, removal

- Think big, be data driven and obsessed with helping deliver industry leading experiences

- Exceptional independent problem solving skills, attention to detail, flexibility, and ability to collaborate with others and to work in a fast-paced environment

- A curiosity for numbers and comfort analyzing product experiences with quantitative tools

- A record of delivering initiatives from concept through completion

- Ability to drive execution, staying ahead of dependencies, making smart tradeoffs, coordinating dependencies, and maintaining communication throughout the organization

- Excellent communications skills, both oral and written. Must be able to communicate effectively and confidently with users, team members and management

- Experience in handling Data Security and Governance

- Working knowledge of Python, Shell

- Ability to work some flexible hours due to varying time zones.

- Partner and collaborate with engineering and business teams to design, build and mature data products

- Interpret and prioritize business needs across various stakeholders group including other Product Managers, Business Analytics and CDM

- Work together with engineers on an Agile Scrum team to plan and execute data product outcomes

- Propose and present future product innovations for the data products

- Define success metrics and SLAs on the key data products and services

- Communicate decision making process and associated data widely throughout the company