Associate Director Finance Digital: Ai - Barcelona, España - Novartis

Novartis

Empresa verificada

Barcelona, España

hace 2 semanas

Publicado por:

Isabel García

beBee Recruiter

Descripción

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