Predictive Finance -Data Manager

Major accountabilities:

• Act as the primary connection between Finance end to end Solution delivery and the Digital business for a given capability. Analyze and refine requirements for delivering the necessary technology service to business
• Solution Design of Finance system solutions in alignment with design and architectural standards, while meeting quality, performance, security and business requirements. Manage project teams in different locations.
• Lead and drive large-scale, multi-year product roadmaps for global finance processes, impacting Novartis’ financial results.
• Maintain, optimize, and ensure the availability of Predictive Digital Finance Data.
• Support Business Analysts, Software Engineers, and Data Scientists as needed.
• Collaborate with the Digital Finance Data Team to provide insights and reports that improve operational efficiency and client experience.
• Understand and align business objectives with IT solutions, ensuring compliance with external policies and regulations.
• Provide IT consulting to stakeholders, driving the adoption of global solutions.
• Lead projects from concept to completion, ensuring minimal disruption and maximizing benefits.

Key performance indicators:

• Conduct impact analysis of digital technologies for the business.
• Design system solutions that meet performance, security, and business requirements.
• Research and recommend new software developments.
• Lead the architecture and execution of data analysis, model development, and automation solutions.
• Develop analytics strategies, operating models, and data governance frameworks.
• Ensure smooth implementation of new or modified services and manage data quality.
• Lead cross-functional teams, provide technical guidance, and mentor new team members.
• Manage a team of data analysts/engineers and oversee projects across multiple locations.
• Engage stakeholders to identify new business opportunities and drive growth.
• Foster innovation and ensure exceptional service delivery.

Minimum Requirements:

• 5+ years experience in Data Engineering / Data Warehousing.
• Experience in Finance/IT roles preferred.
• Strong understanding of cloud computing, with a preference for AWS Architecture.
• Basic knowledge of SAP BW & SAP Finance, data.
• Proven ability to deliver high-quality reports and analysis for senior management using complex data.
• Skilled in developing and executing analytics strategies and roadmaps.
• Knowledge of data governance, data strategy, and data engineering.
• Experience with Agile methodologies and CI/CD development tools.
• Advanced skills in database administration, data modelling, and metadata management.
• Excellent communication and presentation skills for both technical and non-technical audiences.
• Leadership skills with the ability to manage teams, foster innovation, and build cross-team relationships.
• Strong organizational and interpersonal abilities with a commitment to a positive work environment.
• English (fluent). Spanish is a plus.

Nice to have:

• Finance domain
• +5 years of experience on SAP BW with strong usage of finance data.
• Experience with Snowflake administration, security, optimization, and feature exploitation
• Previous hands-on role building data pipelines using Databricks. Hands-on technical experience with Apache Spark.
• Performance Tuning of Spark SQL running on S3/Data Lake/Delta Lake/ storage and Strong Knowledge on Databricks and Cluster Configurations.
• Experience with SageMaker
• Expertise on AWS cloud environment: DynamoDB, EC2, SQS, IAM, Airflow, Jenkins, Step Function / Lambda
• Exposure supporting AI / ML Products from data perspective.
• Security management (object and data based).
• Software development experience with proficiency in Python, Java, Scala or another language.
• Experience with Jira, Confluence