Associate Director Finance Digital: Ai
hace 6 meses
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 multi-functional 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, hands-on and analytical personality, a strong team player with solution orientated and initiative-taking 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, hands-on 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 cross-functional stakeholders to execute high-impact projects
- Experience developing CI/CD pipelines for AI/ML development, deploying models to production, and managing the lifecycle in a regulated environment
- Hands-on experience in development, deployment and agile life cycle management of data science apps (MLOps)
- Deep, hands-on 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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