About the position
We are seeking a highly skilled Senior Manager to lead our Data Architecture team within the Operations Solutions Department. In this strategic role, you will be responsible for designing, developing, implementing and managing complex data architectures ensuring alignment with business goals and scalability for future growth; driving data pipelining and ingestion, data transformation and support related to it change management. As a strategic thinker with strong technical expertise, you will oversee complex data solutions while leading and mentoring a geographically distributed team of data architects. You will lead a diverse team, manage data quality initiatives, and ensure our data architecture is scalable, secure, and cutting-edge. This role involves hands-on technical leadership, team management, and close collaboration with cross-functional internal teams (IT&S, Operations Functions & Smart Services), as well as external partners. This is an excellent opportunity for a data-driven leader to play a pivotal role in shaping the future of our organization's data architecture and driving innovation in a fast-paced, global environment. If you are passionate about data and have a proven ability to lead complex data initiatives, we encourage you to apply.
Responsibilities
- Design and implement complex, scalable data architectures that meet business needs.
- Develop and maintain data models and database designs, focusing on reliability, efficiency, and future growth.
- Architect and develop integrated data quality applications from the ground up using modern technology stacks such as Spark, Scala, ElasticSearch, AngularJS, Kibana, Kafka, and NiFi.
- Design and implement scalable and interoperable data architectures across cloud and hybrid environments (AWS, MS Azure, Google Cloud).
- Develop and maintain robust data models, database designs, and ETL processes while ensuring data quality and security across all solutions.
- Lead the design, development, and maintenance of data pipelines, supporting both batch and streaming data architectures.
- Collaborate with Data Governance, Master Data Management and Cyber Security Teams to establish and enforce best practices for data governance.
- Oversee the design, construction, and maintenance of robust data pipelines ensuring efficient data flow for both batch and streaming data processing platforms.
- Support overseeing end-to-end lifecycle data management from project win, execution, and operation to decommissioning.
- Execute strategy and own KPIs for assigned data products, working with business and consumer teams to ensure the success of the data product line.
- Drive automation of strategic reporting and support the data platform creation to meet internal and external client demands.
- Stay up-to-date with industry trends, data governance standards, and emerging technologies in data architecture, cloud computing, and big data.
- Partner with Group IT, the Data Governance, Master Data Management, Portfolio Management Teams, and other business units to define the technology stack for lifecycle data management.
- Lead and mentor a global team of data engineers, architects, and developers, fostering a culture of innovation and professional growth.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 10+ years of experience in data architecture, data engineering, and database design, data modeling, with expertise in both SQL and NoSQL technologies.
- Proficiency with cloud platforms (AWS, Azure, Google Cloud), big data technologies, and data integration/ETL tools.
- Familiarity with data quality tools and modern tech stacks (e.g., Spark, Kafka, AngularJS, ElasticSearch).
- Strong expertise in on-prem and cloud-based data technologies and big data platforms.
- Leadership experience, with a track record of managing and mentoring technical teams across multiple locations.
- Proven track record of driving large-scale data initiatives.
- Proficient in data governance, data quality management, and data security best practices.
- Understanding and driving outcomes and value-based data activities.
- Experience with data lifecycle management, including data standardization, observability, and auditing.
- Excellent leadership and project management skills.
- Strong knowledge of data governance, privacy regulations, and compliance (GDPR, CCPA).
- Experience with data visualization tools like Power BI, Microstrategy, Tableau.
- Knowledge of machine learning and AI technologies is a plus.
- Fluency in English is a must.
Nice-to-haves
- Knowledge and understanding of time-series data is a plus.
- Work experience and understanding of data environment in Maritime, Shipping and/or Oil and Gas industry is a plus.
Benefits
- Equal Employment Opportunity and Affirmative Action employer.
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