Field Excellence & Dap Manager

Novartis Sağlık, Gıda ve Tarım Ürünleri San.

Key Responsibilities

Data & Analytics

• Design, develop, and maintain scalable data solutions that support business decision-making.
• Build and enhance advanced dashboards, scorecards, and self-service reporting solutions using Power BI and related technologies.
• Analyze large and complex datasets from multiple sources to generate actionable business insights.
• Partner with business teams to translate analytical requirements into scalable data products.
• Ensure data integrity, consistency, and governance across analytical platforms.
• Develop KPI frameworks and performance measurement models supporting commercial and operational excellence.

Data Platforms & Engineering

• Work with enterprise data repositories, data lakes, and cloud-based analytical platforms.
• Develop and optimize SQL queries, data pipelines, and data models for analytical use cases.
• Collaborate with global and local teams managing data architecture and platform ecosystems.
• Support administration, optimization, and utilization of platforms such as Snowflake and other modern cloud data environments.
• Drive automation opportunities to reduce manual reporting and improve data accessibility.
• Own and support CRM, customer engagement, and consent management platforms, acting as the key technical liaison between global platform teams, vendors, and local admin. Drive platform governance, issue resolution, enhancements, reporting capabilities, user adoption, and continuous improvement initiatives while ensuring alignment with global standards.

AI, Machine Learning & Innovation

• Explore, evaluate, and pilot emerging AI, Generative AI, Machine Learning, and advanced analytics solutions.
• Drive the design and adoption of AI-powered assistants and agentic workflows (e.g., via Copilot Studio) to improve productivity, streamline processes, and enable scalable decision support.
• Conduct Proof of Concepts (PoCs) to assess business value and technical feasibility of new technologies.
• Identify opportunities to leverage AI tools to improve productivity, customer engagement, insights generation, and operational efficiency.
• Support the development and deployment of predictive and prescriptive analytics models.
• Partner with technical and business stakeholders to scale successful pilots into enterprise-wide solutions.
• Stay current with advancements in AI, data science, analytics platforms, and digital technologies, bringing innovative ideas into the organization.
• Identify, design, and implement robotic process automation (RPA) and intelligent automation opportunities to streamline business processes, reduce manual effort, improve data quality, and increase operational efficiency across commercial and business support functions.

Digital Transformation & Platform Adoption

• Act as a subject matter expert for analytics, AI, and data platform capabilities across the organization.
• Guide business teams on best practices related to data utilization, dashboarding, analytics, and AI adoption.
• Support rollout plans, change management activities, and user adoption initiatives for new technologies and platforms.
• Deliver user training, capability-building sessions, and knowledge-sharing workshops.
• Establish strong collaboration with regional and global teams to ensure alignment with enterprise strategies and standards.

Project & Stakeholder Management

• Act as a technical business partner to cross-functional analytics and digital transformation projects.
• Manage multiple initiatives simultaneously while ensuring delivery quality and timelines.
• Influence stakeholders across functions to drive data-driven decision making and technology adoption.
• Create business cases for innovative solutions and communicate value realization outcomes to leadership teams.