Mar 03, 2021

SVP- Senior Data Manager

  • Professional Diversity Network
  • Charlotte, NC, USA
Engineering

Job Description

Moody's Corporation

Job DescriptionThe SVP - Data Engineering will lead the modernization and transformation of the data ecosystem within Moody's Investor Services (MIS). This person will partner with Business and Technology teams to drive the build out modern cloud-based data engineering practices, define clear architectural principles and implement frameworks to significantly increase the level of care for data and agility across the ecosystem. The role will also assess and drive opportunities to gain operational efficiencies, drive product thinking when building data assets and help shape the engineering culture within the team.Key responsibilities for this role include the following:Develop and execute on a roadmap to deliver on our vision of a modern distributed data mesh architecture for the ecosystemRecruit and build high performing team of data engineers to execute and operate at scaleChampion the target state architecture and move data gravity from on-premises to the cloud through migration of data assets and workloads to the cloudDirect supervision of full-time employees, contracted employees and/or other 3rd party vendors as individual projects demandDevelop and manage a high performing and empowered team(s).Leverage ELT (Extract-Load-Transform) and distributed data mesh architecture to transform the way we manage data in the organizationManage data driven initiatives involving timelines, vendor relationships, and budgets to ensure projects are delivered with the highest quality and within specified timeframes.Develop baseline technology standards, tools platforms and processes in support of the overall data strategy.Work closely with business and technology colleagues to create platforms built using modern, consumer focused technologiesManage and control costs associated with collecting, managing and sharing data while growing the value of the data to the organization#LI-RD1RequirementsBachelor's degree in computer science, mathematics, MIS or other related field.8-10 years of Data Engineering experience and at least 5 years of data focused leadership position2-4 years of cloud based data engineering experience including cloud data warehousesAdvanced expertise in creating and evangelizing best practices and methodologies.Demonstrated solid experience working on strategic projects in data management spaceExperience with AWS, data modeling, Snowflake will be a plusAbility to build, lead, influence and motivate teams through times of changeExcellent communication skills with respect to both technical and non-technical audiences at various levels of the organizationDemonstrates high EQ and self-awareness. Inspires teams to engage, innovate and deliverPassion for end to end solutions and delighting the end user through effective listening and expectation managementWorking at Moody'sMoody's (NYSE: MCO) is a global integrated risk assessment firm that empowers organizations to make better decisions. Our data, analytical solutions and insights help decision-makers identify opportunities and manage the risks of doing business with others. We believe that greater transparency, more informed decisions, and fair access to information open the door to shared progress. With over 11,000 employees in more than 40 countries, Moody's combines international presence with local expertise and over a century of experience in financial markets. Learn more at moodys.com.EntityMoody's Investors Service is among the world's most respected and widely utilized sources for credit ratings and research. Our opinions and analysis on a broad range of credit obligors and obligations are valued around the world for their insight and rigor.EEO PolicyMoody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion, national origin, citizen status, marital status, physical or mental disability, military or veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Moody's also provides reasonable accommodation to qualified individuals with disabilities in accordance with applicable laws. If you need to inquire about a reasonable accommodation, or need assistance with completing the application process, please email [email protected] This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications. For San Francisco positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the San Francisco Fair Chance Ordinance. For New York City positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the New York City Fair Chance Act. For all other applicants, qualified applicants with criminal histories will be considered for employment consistent with the requirements of applicable law. Click here to view our full EEO policy statement. Click here for more information on your EEO rights under the law. Click here to view our Pay Transparency Nondiscrimination statement.Securities Trading Policy (STP)Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.PDN-92dbe012-2b94-48b1-8e43-21e862a94fb3

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