What's the role?
We are seeking a creative Data Strategy Manager to
- design and implement architecture for rich datasets,
- leverage datasets to define cross-functional processes,
- use these processes to drive operational improvements.
In this role, you will build strong, reliable systems for managing data and lead cross-functional initiatives within our Global Bid Management Team. Your work will be critical in helping our company make data-driven decisions.
If you enjoy working with data, collaborating across teams, and uncovering valuable insights, this role is for you!
In this role, you will:
- Work with cross-functional teams to define processes for leveraging the data-set
- Create and manage systems to collect, organize, and save different types of information.
- Improve cross-functional process improvements to solve existing gaps
- Ensure data systems can provide organized and ready-to-use information on demand.
- Help our company use data to make strategic decisions.
Your Main Responsibilities include:
- Data Architecture & Management - Design, implement, and maintain data systems for collecting, organizing, and storing information. Ensure data is readily available for analysis.
- Cross-Functional Collaboration - Lead initiatives within the Global Bid Management Team, aligning data strategies with business needs.
- Data-Driven Decision Making - Use insights from data to drive strategic and operational improvements across teams.
- Process Optimization - Define and improve cross-functional processes to leverage data effectively and address operational gaps.
- Continuous Improvement - Enhance data systems, implement best practices, and stay updated on industry trends to drive innovation.
Who are you?
Educational Background:
- Bachelor's degree in Data Science, Computer Science, Information Systems, or a related field.
Experience:
- 5+ years in data management, data architecture, or similar roles.
- Proven expertise in program management & cross-functional initiatives.
Technical Skills:
- Skilled in tools like SQL, Python, and R for data processing and analysis.
- Familiar with data visualization tools like Tableau or Power BI.
- Experience with cloud platforms (eg. AWS, Google Cloud, Azure) and big data technologies (Hadoop, Spark).
- Knowledge of database management systems (eg. MySQL, PostgreSQL, MongoDB).
- Understanding of data security and compliance standards.
Soft Skills:
- Strong problem-solving and analytical skills.
- Excellent communication skills to explain data concepts to non-technical audiences.
- Ability to lead and collaborate in a dynamic work environment.
Preferred Qualifications:
- Experience with machine learning or AI frameworks.
- Proven examples of transforming or creating data within a specific domain .
HERE is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, age, gender identity, sexual orientation, marital status, parental status, religion, sex, national origin, disability, veteran status, and other legally protected characteristics. - #LI-MS1
As part of HERE Technologies employment process, candidates will be required to successfully complete a background verification process. This offer and any related claims are subject to the successful completion of a background verification.
Who are we?
HERE Technologies is a location data and technology platform company. We empower our customers to achieve better outcomes - from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely.
At HERE we take it upon ourselves to be the change we wish to see. We create solutions that fuel innovation, provide opportunity and foster inclusion to improve people's lives. If you are inspired by an open world and driven to create positive change, join us. Learn more about us on our YouTube Channel.
