JobId: 92960   JobTitle: [Data Product Manager]

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First Name: * Alphabets Only Middle Name:     Last Name: * Alphabets Only   Job Title:   Education:     Email: * Invalid Office Phone:   Home Phone:   Cell Phone:   City   State: AK AL AR AZ CA Canada CO CT DC DE East Coast FL GA GRE GUA HI IA ID IL IN KS KY LA MA MD ME MI Mid West MN MO MON MONT Mountain MS MT NB NC ND NE NH NJ NM North East NV NY OH OK OR Other PA PR Remote RI SC SD South East TN TX UT VA VT WA West Coast WI WV WY   Zip:   Status: B1 CPT E-3 EAD-F1 EAD-GC EAD-H1B EAD-H4 EAD-L2 EB-3 F1 F2 Green Card H1-B H4 L1 OPT Other SubCont TN Permit Todo-H1B US Citizen *       Skills & Experience Total Experience: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 Yrs   US Experience: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 Yrs   Specific Experience: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 Yrs   Technical Skills: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30   Comm Skills: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30   Billing Rate: Hourly Daily Weekly Monthly Yearly *       Required Skills Experience Skill Experience(Years) *Rating(1-10) Last Used   Desired 4–7 years of experience in Data management * Numeric Please(0-100) 1-10 Invalid Year Copy data analytics * Numeric Please(0-100) 1-10 Invalid Year Copy data engineering * Numeric Please(0-100) 1-10 Invalid Year Copy or related fields * Numeric Please(0-100) 1-10 Invalid Year Copy Demonstrated Product leadership skills and ability to work in ambiguity * Numeric Please(0-100) 1-10 Invalid Year Copy Strong understanding of data systems: pipelines * Numeric Please(0-100) 1-10 Invalid Year Copy warehousing * Numeric Please(0-100) 1-10 Invalid Year Copy modeling * Numeric Please(0-100) 1-10 Invalid Year Copy metadata * Numeric Please(0-100) 1-10 Invalid Year Copy governance * Numeric Please(0-100) 1-10 Invalid Year Copy Proficiency collaborating with data Architecture * Numeric Please(0-100) 1-10 Invalid Year Copy data engineering and data science teams * Numeric Please(0-100) 1-10 Invalid Year Copy Ability to translate complex technical concepts into business-friendly language * Numeric Please(0-100) 1-10 Invalid Year Copy Strong communication * Numeric Please(0-100) 1-10 Invalid Year Copy prioritization * Numeric Please(0-100) 1-10 Invalid Year Copy and stakehol * Numeric Please(0-100) 1-10 Invalid Year Copy *[Ratings are based on a scale of 1 to 10 with 10 being the best] Candidate Resume   Resume Text: Comments   Comments: