Job Family: Finance

Req ID: 425814

Would you like to be a part of a global company?

Siemens Digital Industries Software - Transform the everyday!

Siemens Digital Industries Software (DISW) is an innovation leader in automation and digitalization. Closely, collaborating with partners and customers, we care about the digital transformation in the process and discrete industries. With our Digital Enterprise portfolio, we provide and encourage companies of all sizes with an end-to-end set of products, solutions and services to integrate and digitalize the entire value chain. Meaningful optimization for the specific needs of each industry, our outstanding portfolio supports customers to achieve greater efficiency and flexibility. We are constantly adding innovations to its portfolio to integrate groundbreaking future technologies.

We offer a role with responsibility, independence, and the possibility to contribute proactive. We foster a teamwork culture with room for individual development.

Please visit Siemens (siemensneo.com) (https://siemensneo.com/disw/)

About the role:

Reporting to the Senior Director of QDI (Quantitative Data Intelligence) the Data Science Manager will lead a dynamic data science team, steering both the strategic and technical aspects of data-driven projects. This role will aim to leverage big data to inform decision-making and drive innovation using Artificial Intelligence and Machine Learning (AI/ML) tools. This strategic role involves overseeing the design, implementation, and optimization of data systems and leading the team towards achieving excellence using AI and ML for data measure management/analytics.

Responsibilities:

• Lead and manage a team of AI & ML analysis, fostering a collaborative and innovative work environment.

• Develop and execute a data strategy and integrated roadmap that aligns with organizational goals, including data collection, integration, and structuring processes.

• Oversee the design, implementation, and management of robust, scalable data tools and pipelines.

• Ensure data quality and consistency across various data sources and systems, implementing best practices in data management.

• Partner and collaborate and influencing with the Business cross-functional teams, including data scientists, analysts, and IT specialists, to support data-driven projects and initiatives.

• Stay ahead of industry trends and advancements in data technology, applying new techniques and tools to enhance data capabilities.

• Communicate data strategies and insights effectively to stakeholders and senior management.

• Oversees the planning, execution, and delivery of data science projects.

• Ability to work independently with minimal supervision with an ownership mindset.

• Developing and optimizing repeatable internal reporting.

• Partnering with the business and development team to create and execute clear, complete, accurate reporting for different workstreams.

Operating mode:

· Fully remote or hybrid – depending on your location.

Qualifications:

• Bachelor's or Master’s degree in computer science, Information Technology, Data Science, or a related field.

• Proven experience, 5+ years in data science, AI & ML, with a track record of managing data teams and projects.

• Excellent leadership and team management skills, with the ability to inspire and guide teams towards achieving their goals.

• Strong problem-solving abilities.

• Ability to collaborate and work cross-functionally in matrix managed organization.

• Acting as liaison between business units and technology solutions.

• Building a strong working knowledge of internal data infrastructure, architecture, and processes.

• Excellent data management and analytic skills to assemble, clean and analyse data effectively from multiple systems.

• Strong written and verbal communication skills.

• Must have a positive/proactive attitude and be a strong team player.

Preferred Skills

• Experience in cloud computing environments (Alteryx, Snowflake, SQL, ETL, AWS, Azure, Google Cloud) and understanding of SaaS models.

• Experience with SAP systems (ECC, S4 HANA).

• Proficiency in programming languages and experience with SQL & Tableau databases.

• Strong technical expertise in data modelling, data warehousing, and data integration techniques.

• Knowledge of digital twin technologies and their application in industrial contexts.

• Background in industrial automation, IoT, or related fields.

• Familiarity with Agile development methodologies.

Working at Siemens Software

Working at Siemens Software means flexibility - Choosing between working at home and the office at other times is the norm here. We offer great benefits and rewards, as you'd expect from a world leader in industrial software.

We offer great benefits you'd expect from a world leader in industrial software.

We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

Siemens Software. Transform the everyday!

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