Associate Director Finance Digital: Ai

hace 2 semanas

Barcelona, Barcelona, España Novartis A tiempo completo
500 This is the number of Finance Digital challenges looking for a solution.

We count on you to come up with the best IT solutions and work with a highly dedicated Finance Digital Product Team.

The role purpose is for Product delivery and/or operations in the given Finance business capability. Partner with Business Stakeholders and TT Business Partners for demand analysis, solution proposal/evaluation and project delivery.

Your responsibilities include, but are not limited to:

  • Act as the primary connection between Finance end to end Solution delivery and the Digital business for a given capability
  • Analyse 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
  • Own and Drive the end to end Technical Product Delivery.
  • Ensure IT services are aligned with business strategy, business objectives, business requirements, standards and regulations
  • Understand the processes, plans, objectives, drivers, and issues related to the business capability, and the appropriate external policies and regulations.
  • Identify and qualify new demand with overall responsibility for steering proposals through the early phases of approval
  • Provide IT consulting to the capability stakeholders, educate them on IT processes and methodologies and drive adoption of global solutions
  • Ensure digital technology impact analysis is provided to business
  • Initiate and drive projects from conception to completion with mínimal guidance
  • Establishes scalable, efficient, automated solutions for large scale data analyses, model development, model validation and model implementation
  • Communicate complex data or algorithms into simple conclusions that will empower leadership to drive action based on the insights you derive
  • Collaborate in multifunctional teams to evaluate business activities, and then develop innovative and effective approaches to tackle team's analytics problems and communicate results and methodologies
  • Develop and maintain infrastructure for machine learning models in production
  • Monitor and optimize machine learning models for scalability, performance, and reliability
  • Implement and manage continuous integration and delivery pipelines for machine learning products
  • Collaborate with data scientists and ML engineers to ensure smooth integration of models into the production environment.

Commitment to Diversity & Inclusion:

  • We are committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve._

Minimum requirements

  • University working and thinking level, degree in technical computer science or information security area or comparable education/experience
  • 8+ years of relevant professional IT experience in the related functional area
  • Experience of running ML solutions in production, making the data accessible and maintaining a Data Science platform (cloud based on AWS, Azure, GCP)
  • You are a problem solving, handson and analytical personality, a strong team player with solution orientated and initiativetaking mindset
  • Demonstrated ability in the establishing of MLOps practice and associated practices in complex environments
  • Experience in coaching and leading agile dev teams, and building a team and culture around agile development practices
  • Deep, handson technical and operational expertise with IT technologies like: Snowflake, DB design / modelling, Databricks Airflow or equivalent data orchestration tool Bitbucket or equivalent source code repository tool AWS foundational
  • Demonstrated experience AI scalable solutions industrialization, establishing the vision for major products
  • Experience interacting and influencing crossfunctional stakeholders to execute highimpact projects
  • Experience developing CI/CD pipelines for AI/ML development, deploying models to production, and managing the lifecycle in a regulated environment
  • Handson experience in development, deployment and agile life cycle management of data science apps (MLOps)
  • Deep, handson technical and operational expertise with Cloud Services like: Jenkins, CloudWatch, SonarQube, Lambda, AWS Batch, Sagemaker, S3, Docker, EKS / ECS, EC2, ECR, Fargate, API Gateway, VPC, Cognito.
Nice to Have

  • Linux / Unix base system administration.
  • System Architecture.
  • Solid knowledge of data science fundamentals like models, methods and workflows

Division
Operations

Business Unit
DATA, DIGITAL & IT

Country
Spain

Work Location
Barcelona

Company/Legal Entity
Novartis Farmacéutica, S.A.

Alternative Country 1
India

Functional Area
Technology Transformation

Job Type
Full Time

Employment Type
Regular

Shift Work
No

Early Talent
No

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