Senior Data Science Manager – Finance Advanced Analytics & Reporting

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com.

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Data Science

Job Category:

People Leader

All Job Posting Locations:

Neuss, North Rhine-Westphalia, Germany

Job Description:

We are searching for the best talent for Senior Data Science Manager – Finance Advanced Analytics & Reporting

An internal pre-identified candidate for consideration has been identified. However, all applications will be considered.

About Innovative Medicine

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.

Learn more at https://www.jnj.com/innovative-medicine

Purpose:

As Senior Data Science Manager – Finance Advanced Analytics & Reporting (F/M/D) within the Global Finance Data Science team, you will lead the strategy, portfolio, and delivery of advanced analytics, financial and operational models, trusted reporting products, and governed data solutions that improve enterprise decision-making. You will provide functional leadership across multidisciplinary teams and combine deep Finance and ERP expertise with data science, business intelligence, and hands-on data engineering capabilities to turn complex business priorities into scalable, explainable, and executive-ready solutions.

The role will shape and execute the global Finance data and analytics roadmap; sponsor high-value use cases; establish standards for modeling, reporting, governance, and responsible AI; and ensure solutions deliver measurable business outcomes. The Senior Manager will partner with senior leaders across Finance, FP&A, Controllership, Data, Technology, Compliance, and regional teams to modernize planning and reporting, strengthen financial data products, reduce manual effort, and provide consistent visibility into performance, risks, trends, and opportunities worldwide.

You will be responsible for:

• Own and execute a global portfolio of Finance data science, advanced analytics, and reporting initiatives, aligning investments and sequencing with enterprise Finance strategy and measurable business value.
• Partner with senior Finance, FP&A, Controllership, Compliance, Data, and Technology leaders to frame strategic questions, define success measures, prioritize use cases, and secure sponsorship for adoption.
• Lead multidisciplinary teams and matrixed delivery partners through discovery, design, development, validation, deployment, and sustained product ownership; clarify roles, milestones, dependencies, risks, and decisions.
• Establish reusable standards for analytical methods, financial and semantic models, SAP data mappings, KPI definitions, documentation, testing, controls, and executive reporting across regions and business units.
• Provide oversight of SAP Finance data discovery across ECC, S/4HANA, CFIN, ACDOCA, SAP BW/4HANA, SAP Datasphere, and related platforms, ensuring source-to-target traceability, reconciliation, and fitness for purpose.
• Guide the application of forecasting, driver analysis, segmentation, anomaly detection, scenario modeling, machine learning, generative AI, and intelligent automation to high-value Finance decisions and processes.
• Sponsor rapid proofs of concept while setting clear hypotheses, scope, data requirements, acceptance criteria, decision gates, and value measures; determine whether to stop, iterate, scale, or transition solutions to production.
• Ensure production solutions meet enterprise expectations for architecture, security, privacy, responsible AI, data quality, lineage, auditability, reliability, performance, and cost management.
• Build trusted partnerships across global and regional teams, resolve competing priorities, manage executive-level risks and trade-offs, and communicate recommendations through concise, decision-oriented narratives and visualizations.
• Develop organizational capability by coaching data scientists and analytics professionals, fostering communities of practice, promoting knowledge reuse, and strengthening succession and talent pipelines.

Qualifications Requirements

• Demonstrated leadership of a global or enterprise analytics portfolio, including strategy development, prioritization, funding, governance, delivery oversight, adoption, and benefits realization.
• Deep expertise in advanced analytics and data science, including statistical analysis, forecasting, regression, time-series methods, anomaly detection, segmentation, scenario modeling, machine learning, and model evaluation.
• Hands-on fluency of SAP Finance data and reporting, including SAP ERP or S/4HANA, ACDOCA, CFIN, SAP BW/4HANA, SAP Datasphere, and SAP Analytics Cloud, including financial and planning data models.
• Prior experience with Python, SQL, PySpark, data preparation, feature engineering, exploratory analysis, visualization, and productionization, with the judgment to guide technical design and review team outputs.
• Experience leading solutions on modern analytics platforms such as Microsoft Fabric, Power BI, Databricks, SAP, Snowflake, Tableau, or comparable technologies, including dimensional, semantic, and self-service models.
• Ability to define enterprise KPI frameworks and executive-ready dashboards that translate complex financial and operational performance into clear decisions and actions.
• Expertise in data quality, source-to-target reconciliation, metadata, lineage, access controls, model governance, responsible AI, and audit-sensitive or SOX-controlled reporting environments.
• Knowledge of scalable architecture and engineering patterns, including medallion architectures, ETL/ELT, incremental processing, orchestration, testing, deployment, monitoring, reliability, and cost-performance optimization.
• Proven ability to influence senior stakeholders, lead through ambiguity and organizational complexity, manage external partners, and drive adoption across global, regional, and functional boundaries.
• Strong people and capability leadership, including coaching, mentoring, performance development, resource planning, and creation of inclusive, high-performing teams in direct or matrixed environments.

Required Minimum Education and Experience:

• At least 10 years of relevant experience in advanced analytics, data science, financial modeling, enterprise reporting, or data engineering, including substantial experience leading complex, cross-functional initiatives and analytics products from strategy through production adoption. Demonstrated success influencing senior leaders and delivering measurable outcomes in a global, matrixed organization.
• Bachelor’s degree in Computer Science, Data Science, Engineering, Information Technology, Industrial Engineering, Finance, or another quantitative discipline. An advanced degree in a relevant field is preferred.

Preferred:

• Deep SAP analytics experience in global Finance, FP&A, Controllership, or a regulated environment; implementation leadership across Microsoft Fabric, Power BI, Databricks, Snowflake, SAP Datasphere, or SAP Analytics Cloud; reporting modernization; SOX and audit readiness; and leadership of direct, matrixed, or partner teams across regions.

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. 

 

Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers , internal employees contact AskGS to be directed to your accommodation resource.

PG31, Posted Internally, November 10th - November 25th

 

 

Required Skills:

 

 

Preferred Skills:

Advanced Analytics, Budget Management, Compliance Management, Critical Thinking, Cross-Functional Collaboration, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Developing Others, Digital Fluency, Inclusive Leadership, Leadership, Strategic Thinking, Team Management

  

 

The anticipated base pay range for this position is:

€92,200.00 - €160,080.00

 

 

Benefits:

In addition to base pay, we offer the following benefits*: an annual bonus with set target (% of pay) depending on pay grade / location, where the actual amount is based on the employees’ and companies’ performance of the previous calendar year, or sales commissions. Moreover, we offer vacation days, parental leave for a minimum of 12 weeks, bereavement leave, caregiver leave, volunteer leave, well-being reimbursement, programs for financial, physical and mental health. We also offer service anniversary and recognition awards, and subject to the terms of their respective plans, employees - and in some location’s eligible dependents - can participate in several insurance plans. For more information, visit Employee benefits | Supporting well-being & career growth | Johnson & Johnson Careers.

 

*This is for informative purposes only. Amounts and actual benefits may vary by location and are subject to change.