*_ responsibilities: _*
- applies advanced knowledge on data science platforms to build, design, maintain and operate data models in support of business analytics.
- leads internal projects with medium to high complexity and risk, provides feedback on projects, and conducts post
- project evaluations.
- represents the needs of the business, function, or region on an ongoing basis to drive process improvements.
- collaborates with operational teams and business stakeholders to gather business requirements, supporting the design of new or improved processes of medium to high complexity, and understand business/customer impact.
- utilizes and assists others in utilizing standard project management and quality
- improvement methodologies in process improvement approaches.
- establishes processes which are consistent with overall organization objectives and maintains process documentation.
- communicates tactical process decisions and plans, project status, and issues and workarounds, in order to achieve alignment with relevant areas of the business, function, or region.
*_ education and experience required: _*
- first-level university degree or equivalent experience; advanced university degree preferred.
- typically 6-10 years of related experience in it/business operations.
- typically 5-8 years of project management experience.
- quality improvement training required and certification a plus.
*_ knowledge and skills: _*
- experience with data science platforms such as databricks, snowflake or azure ml
- expert in sql and programming languages such as python.
- excellent communication skills (i.e. written, verbal, presentation), leadership, and influence skills. Mastery in english and local language as well as other languages as required.
- strong business experience in multiple process areas with excellent project management and process development skills; ability to drive process improvements using industry standard quality improvements tools and concepts.
- strong project management skills such as planning, execution and implementation.
- solid financial and business acumen.
- in-depth understanding of core hp businesses and the revenue cycle.
- in-depth knowledge of hp operational processes, industry trends, and customer/partner requirements.