Product Owner Data Analytics Platform

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Responsible for the build and maintenance of sustainable products (service, application or tool) that meet customer needs over the product lifecycle, led by the Product Manager (PM).

YOUR CHALLENGE

General Description

The Markets Data Analytics team in Global Products & Solutions (GPS) at Julius Baer is seeking an experienced Product Owner to lead the development and maintenance of our Data and Analytics platform. As a key member of our product management and engineering teams, you will be responsible for defining and prioritizing the product backlog, designing and implementing data architectures, and collaborating with stakeholders to deliver a scalable, secure, and user-friendly platform that meets the evolving needs of GPS.

The team consists of Data scientists, Data analysts, Data Engineers and Developers applying DataOps and MLOps to build and maintain the Markets Data Analytics Platform (DAP).

Key Features And Accountabilities

Business Management

Define and prioritize the product backlog for the Data and Analytics platform, ensuring alignment with business objectives and customer needs

Collaborate with cross-functional teams, including other agile teams and business stakeholders, to design, develop, and deploy new features and capabilities

Drive adoption of the data platform by identifying potential use cases

Apply Agile methodologies to manage the development process, including sprint planning, backlog grooming, and retrospectives

Ensure that the design, implementation, and maintenance of the Data Analytics platform is on par with the state-of-the-art methodologies and technology

Ensure that the Data Analytics team are applying Software Development and Engineering Excellence to achieve their goals

Ensure data quality, security, and compliance by implementing data validation and access controls

Stay up to date with emerging trends and technologies in data engineering, data science, and cloud computing, and evaluate their potential impact on the platform

Communicate complex technical concepts and trade-offs to non-technical stakeholders, and negotiate priorities and expectations as needed

Client management (internal & external)

Work closely with stakeholders to gather requirements and feedback, and ensure that the deliverables meet their needs and priorities

Collaborate with data scientists to integrate and maintain machine learning models into the platform

Collaborate with other technical leaders to define and implement best practices, standards, and roadmaps for data engineering and architecture

Foster a culture of collaboration, innovation, and continuous improvement within the team

Regulatory Responsibilities &/or Risk Management

Demonstrate appropriate values and behaviours including, but not limited to standards on honesty and integrity, due care and diligence, fair dealing (treating customers fairly), management of conflicts of interest, competence and continuous development, adequate risk management, and compliance with applicable laws and regulations

YOUR PROFILE

Skills Requirements

Personal and Social

Excellent communication, collaboration, and interpersonal skills, with the ability to work effectively with technical and non-technical stakeholders

Strong analytical and problem-solving skills, with the ability to break down complex problems into manageable components

Strong team player

Able to work independently and in a global team setup to take on initiatives with a positive attitude

Client-centric approach for all deliverables

Systematic, precise and diligent working style and the ability to perform under pressure

Personal integrity and ethical behaviour

Professional and Technical

10+ years of experience as a Data Engineer or similar role, with at least 2 years of experience as a Product Owner or similar role

Bachelor's degree in Computer Science, Information Technology, or a related field; advanced degree or certification in data science, engineering, or a related field is a plus

Strong background in computer science, software engineering, or a related field, with expertise in data structures, algorithms, and software design patterns

Experience with data platform technologies, including Spark, Deltalake, NoSQL databases, and cloud-based data platforms (e.g. Databricks, Azure Fabric)

Proficiency in one or more programming languages, such as Python or Scala

Experience with Agile development methodologies

Strong understanding of data architecture, data modelling, and data governance principles, with experience designing and implementing data warehouses, data lakes, and data pipelines

We are looking forward to receiving your full job application through our online application tool. Further interesting job opportunities can be found on our Career site.

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