Continental
Technology
ITConsultantData&AnalyticsProductOwner
Neural analysis suggests this role is
optimal for entry candidates.
“IT Consultant Data & Analytics Product Owner at Continental. Skills: Data & analytics, Product ownership, Machine learning, AI. Lead product management for data & analytics solutions. Act as central interface between business and IT”
Industry & Context.
What They're Looking For.
Must Have
Degree in Business Information Systems, Computer Science, Data Analytics, or comparable field, Several years of experience in data & analytics, Proven experience in delivering data & analytics solutions in cross-functional and international settings, Experience in coordinating cross-functional teams, Experience managing stakeholders
Nice to Have
Product owner experience, Solution architect experience
What You'll Do.
Lead product management for data & analytics solutions
Act as central interface between business and IT
Coordinate with data domain owners
Coordinate with source system specialists
Coordinate with data engineers
Coordinate with ML/AI engineers
Coordinate with BI specialists
Coordinate with architects
Coordinate with governance
Coordinate with DevOps
Translate business needs into scalable solution designs
Coordinate end-to-end implementation
Ensure stable operations
Understand business processes
Understand strategic goals
Translate needs into solution concepts
Lead data & analytics product lifecycle stages
Support data & analytics product lifecycle stages
Engage with business stakeholders
Engage with data owners
Engage with IT system owners
Engage with internal specialists
Align on technical direction
Secure alignments with legal
Secure alignments with compliance
Secure alignments with governance
Lead backlog creation
Coordinate delivery by data engineers
Coordinate delivery by BI developers
Coordinate delivery by ML/AI engineers
Coordinate delivery by other specialists
Coordinate business validation
Coordinate user testing
Ensure smooth go-live
Monitor solution performance
Monitor user adoption
Serve as first point of contact
Manage change requests
Evolve solution based on business priorities
How You'll Work.
Team & Collaboration
Cross-functional teams; International settings; Global teams; Across cultural contexts; Business stakeholders; Data owners; IT system owners; Internal specialists; Legal; Compliance; Governance; Data engineers; BI developers; ML/AI engineers; Business key users
Process & Methodology
Backlog management, Roadmap planning
Full Job Description
Continental develops pioneering technologies and services for sustainable and connected mobility of people and their goods. Founded in 1871, the technology company offers safe, efficient, intelligent, and affordable solutions for vehicles, machines, traffic and transportation. In 2023, Continental generated sales of €41.4 billion and currently employs around 200,000 people in 56 countries and markets. Guided by the vision of being the customer's first choice for material-driven solutions, the ContiTech group sector focuses on development competence and material expertise for products and systems made of rubber, plastics, metal, and fabrics. These can also be equipped with electronic components in order to optimize them functionally for individual services. ContiTech's industrial growth areas are primarily in the areas of energy, agriculture, construction, and surfaces. In addition, ContiTech serves the automotive and transportation industries as well as rail transport. The IT Digital and Data Services Competence Center of ContiTech caters to all the Business Areas in ContiTech and responsible among other on areas of Data & Analytics, Web and Mobile Software Development and AI The team for Data services specializes in all platforms, business applications and products in the domain of data and analytics, covering the entire spectrum including AI, machine learning, data science, data analysis, reporting and dashboarding. - Lead the product management for data & analytics solutions across the Suply Chain Management (SCM) domain with an end-to-end perspective - Act as the central interface between business stakeholders and the IT organization for the assigned data & analytics solutions — coordinating with data domain owners, source system specialists, data engineers, ML/AI engineers, BI specialists, architects, governance, and DevOps. - Translate business needs into actionable, scalable solution designs — spanning data integration, data modeling, descriptive analytics, r
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