Data Analytics Manager

Job Description

Data Analytics Manager 

About GM

We’re dedicated to achieving our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for people who are passionate about helping us create safer, better and more sustainable solutions for personal mobility. Our bold vision won’t happen overnight, but just as we transformed how the world moved in the last century, we are committed to transforming how we move today and in the future.
 

Why Work for Us
Our culture is focused on building inclusive teams, where differences and unique perspectives are embraced so you can contribute to your fullest potential as you pursue your career. Our locations feature a variety of work environments, including open work spaces and virtual connection platforms to inspire productivity and flexible collaboration.
And we are proud to support our employees volunteer interests, and make it a priority to join together in efforts that give back to our communities
 

Job Description
The Finance Data Asset Manager is responsible for overseeing the curation, maintenance, completeness, timeliness and quality of multiple data sets within the organization. This role leads a team that ensures data accuracy, consistency, and integrity across all our finance data assets for the enterprise. The Finance Data Asset Manager will collaborate with various departments including IT, Finance, Product Development, GPSC, Engineering and SSM to establish and maintain high quality data assets to be used for analytics and support data-driven decisions.

• Oversee the curation, maintenance, and quality control of data across all data assets
• Ensure data accuracy, consistency, and integrity by implementing and maintaining quality systems across the various data assets
• Manage data integration and synchronization between different systems and platforms.
• Provide training and support to business users of the various data assets.
• Monitor and report on key data management metrics and KPIs.
• Ownership over all aspect of security: Role provisioning, addition/deletions, reviewing security groups, and performing security audits.
• Understand data structure, data interfaces, and how data flows from source systems to the consolidation system within the integrated eco system.
• Internal desire to not accept status quo and instead learn ‘how things work’ and willingness to research complex, problematic, and difficult issues during a chaotic environment. Lead Change and simplification of complex processes
• Keeps abreast of current product developments and trends in areas of expertise
• Collaborate with business partners to understand and interpret requirements, align them into actionable roadmaps, and enable specific outcomes with accountability to deliver
• Lead the identification and development of data enabled insights that support strategic decisions and enable business value
• Establish a data-driven culture through leadership of advanced analytics solutions while leveraging AI to enable business value
• Ensure comprehensive adoption of transformation solutions by business functions

Additional Skills:
Project Management

• Strong organizational skills and ability to work independently
• Ability to relate project with business objectives and results, integrate with business purpose
• Proactively work to resolve issues and move project tasks forward
• Innovative thinking and ability to provide alternatives to complex problems
• Teamwork/Leadership Skills
• Ability to collaborate with people within IT, FP&A, Product Development, GPSC and Program Management
• Lead a diverse team of Junior and Senior analyst
• Willingness to listen to various opinions / issues and lead through ambiguity
• Work with sense of urgency to complete complex projects on time w/ quality
• Solves problems and develops new methods of analysis to streamline decision making
• Have an independent desire to investigate root causes and understand what triggers them
   

Basic Required Qualifications:

• Bachelor's degree in Information Management, Computer Science, Business
• Administration, or a related field.
• Proven experience in data management, data governance, or a similar role.
• Strong understanding of data management principles, practices, and tools.
• Excellent analytical, problem-solving, and organizational skills.
• Strong communication and interpersonal skills.
• Ability to work collaboratively with cross-functio