| Data Product Owner-Remote-Immediate Interview-HCL at Remote, Remote, USA |
| Email: [email protected] |
| From: Danish Azeez, Inherent technologies [email protected] Reply to: [email protected] Position: Data Product Owner Location: Remote Duration: 1 Years Phone & Skype Client: HCL Immediate Interview Mandatory required skills Strong Data Background Job Description Strong data analysis skills (e.g., SQL, python, R) along with an understanding of technical patterns used to consume and process data at scale (e.g., graphQL, spark) Excellent problem solving and influencing skills Thrive at the intersection of data and business strategy - able to understand complex business intent and translate strategy into data requirements that promote consistent, reusable and interoperable data consumption Framework driven approach to problem solving with ability to simplify technical complexity and drive well-educated business decisions across stakeholders Exceptional cross-team collaboration; able to work across different functions, organizations, and reporting boundaries to get the job done. Highly tuned emotional intelligence, good listener, and deep seated empathy for teams, partners, and direct reports Primary Responsibilities Drive the definition, design and operationalization of data products that maximize leverage for the business and serve the needs of your internal and external customers Own and prioritize the long-term (12-18mo) month roadmap for your product(s), working with a cross-functional stakeholder group balancing priorities based on impact and risk to drive winning customer outcomes. Defines OKRs for your Data Product with a metrics-driven strategy to maximize value of your product and iteratively adjust and refining roadmap based on inputs Immerse yourself in understanding your customer(s) by employing empathy and design thinking to build a customer-backed product roadmap that that drives business value Serves as the internal and external subject matter expert for your product and its role in Capital Ones ecosystem with accountability for owning the definition of data, including its usage and constraints Partner closely with technology and data experts to design robust solutions, shaping the business capabilities and associated architecture necessary to drive the broader product agenda Inspires the team to deeply understand technical opportunities to increase the speed of delivery and prioritize opportunities for reuse Develop a robust integration strategy that demonstrates customer-based thinking to make the lives of internal and external customers easier by delivering scalable, reliable and consistently defined ( standardized ) data solutions Lead a team of Data Product Managers who drive Retail Banks data standardization agenda and own various data products across your portfolio Mentor and contribute to the data talent community at Capital One, empowering local and cross-functional teams to do their best work Submission Subject line: [Customer Name Skill Location Candidate Name] Profile Submission Date Skills/Role Work Location Candidate Name Contact# Email ID Current Location Work Authorization Visa Validity (Month & Year) Hiring Mode Total IT Experience (Years) Relevant Work Experience (Years) Availability to join post offer Preferred time slots for video interview Rate Vendor Name Your W2 candidate (Yes/No) Candidate is willing to relocate before joining for day 1 onsite presence (Yes/No) Skill Matrix: Required Skills Rating (Scale 1-10) Work Experience (Years) Last Used (Year) Related Project Name Product Owner Data Analysis SQL, Python, R iTAP BR# Candidate Reference No / CVID Full Legal Name: First Name recorded in iTAP ( Please share iTAP snippet) Middle Name recorded in iTAP ( Please share iTAP snippet) Last Name recorded in iTAP (Please share iTAP snippet) Candidate Location: Contact Number: Email ID: Interested to Relocate (Yes/No): Work Authorization Type (Must): Validity of Visa (If applicable): Availability for Onsite: Earliest Availability to Join: LinkedIn Profile: (Must share the link) Current and Last few employers: Day one onsite reporting flexibility (Yes / No). If No, please share timeline to RTO (Return to office) Keywords: rlang information technology wtwo Idaho |
| [email protected] View all |
| Thu Feb 15 04:40:00 UTC 2024 |