Senior Manager Data Engineering Full Time NEW

About the Company : With data being the fuel that drives our future – our strategies, policies, and business success around data will define our future growth prospects. Unlocking the value available through the innovative use of data on behalf of consumers, business, and communities is key to our future. With our ongoing commitment to Zeiss Vision Care’s Data Values and the responsible use of data, we at Zeiss Vision have a bold vision to continue to grow and accelerate our data-related business and capabilities. The Global Data Engineering Team coordinates high-impact, complex, company-wide projects related to data business strategy, Tech collaborations and marketplace execution. We are a Data Engineering team within Vision IT, responsible for designing, building, and optimizing data pipelines and platform that power Vision’s analytics, and decisioning capabilities. Our focus is on data quality, scalability, and reliability, enabling seamless integration of complex datasets across regions. By partnering with product and business teams, we ensure that data-driven solutions deliver measurable impact and support Vision’s global strategy.

About the Role: As Senior Manager, you will be part of this core Data Engineering team, you will lead a high-performing team, providing technical leadership to the team, stakeholder engagement and capacity planning across the different DE projects.

Responsibilities:

• Lead the implementation to build/re-engineer Data solutions, overseeing the ingestion, processing, and management of high-volume, multi-dimensional datasets, ensuring data quality, reliability, and scalability.
• Accountable for overseeing the continuous improvement process by integrating change requests from regional teams on developed solutions.
• Optimize and maintain the Data Solutions and Capabilities in the portfolio, proactively identifying and resolving processing performance bottlenecks as necessary.
• Unblock technical issues for the team working in collaboration with the technology teams, who manage the data and job orchestration platforms.
• Lead project estimation, delivering accurate timelines, resource planning, and risk assessments.
• Develop and maintain comprehensive project plans to ensure alignment with business priorities and timely milestone delivery.
• Lead monthly update meetings with regional stakeholders to review progress, share key developments, and align priorities for data engineering and ML-based solutions.
• Facilitate open discussions to gather feedback, address challenges, and incorporate regional needs into solution delivery.
• Communicate clearly and effectively with stakeholders at all levels, including executives, technical teams, and business partners.
• Build, mentor, and lead a high-performing data engineering team, cultivating a culture of innovation, ownership, and results.
• Develop and drive the strategic vision for data solutions, ensuring alignment with DTO and Vison Care business objectives.
• Collaborate with solution and consulting teams to define priorities and manage the solution backlog for seamless solution development and operations.

Qualifications:

• 13+ years of Software Engineering experience, with at least 5 years in Data Engineering domain including 2-4 years in technical management/leadership roles.
• Excellent understanding of data technologies landscape.
• Solid understanding of data modelling, ETL processes and data warehousing concepts.
• Expert in agile development with CI/CD pipeline especially with data projects.
• Knowledge in cloud technologies and integrations.
• Exposure to cloud security & identity management (OAuth, SSO etc integrations).
• Expert in master data management and building customer 360 degree views.
• Ability to lead architectural discussions, make technical decisions and balance short-term vs long-term trade offs.
• Proven track record of mentoring engineers, driving execution and leading teams through technical complexity.
• Strong analytical and problem solving skills.
• Excellent communication and leadership skills, with the ability to collaborate effectively with Technical and Non-technical stakeholders.
• Strong coordination and negotiation skills.