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Data Analytics Senior Lead Engineer Singapore Jobs (Hybrid work)

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Senior Credit Portfolio Risk Manager
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Singapore , Singapore
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Not provided
https://www.citi.com/ Logo
Citi
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Until further notice
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Pursue a pivotal leadership role at the intersection of data, technology, and business strategy by exploring Data Analytics Senior Lead Engineer jobs. This high-level position is designed for seasoned professionals who are not only technical experts but also strategic visionaries and influential leaders. A Data Analytics Senior Lead Engineer is primarily responsible for architecting and executing an organization's data strategy, transforming raw data into a strategic asset that drives innovation, competitive advantage, and data-informed decision-making across all business functions. This is a career path for those who want to shape the data culture of an enterprise and lead teams to deliver tangible business outcomes. Professionals in these jobs typically shoulder a broad and critical set of responsibilities. They lead, mentor, and grow high-performing teams of data engineers, data scientists, and business intelligence analysts, fostering an environment of collaboration and continuous improvement. A core function involves overseeing the design, development, and maintenance of robust, scalable data infrastructure, including data warehouses, data lakes, and big data platforms. They are tasked with translating complex business challenges into comprehensive data analytics solutions, which often includes championing the implementation of advanced analytics, machine learning models, and predictive analytics. Furthermore, they act as a crucial bridge between technical teams and non-technical stakeholders, effectively communicating insights and strategic recommendations to senior leadership to guide key business initiatives. They are also responsible for staying ahead of the technology curve, evaluating and integrating new tools and methodologies, while ensuring all data practices comply with governance, security, and privacy regulations. To be successful in Data Analytics Senior Lead Engineer jobs, candidates generally possess a strong academic background in a quantitative field such as Computer Science, Data Science, or Engineering, with many holding an advanced degree like a Master's or MBA. Typically, this role requires over a decade of progressive experience in data-centric fields, with a significant portion (often 5+ years) in leadership positions managing sizable teams. The technical skill set is extensive and must include deep expertise in big data technologies (e.g., Hadoop, Spark, Kafka), cloud data platforms (AWS, Azure, GCP), and data warehousing solutions. Proficiency in programming languages like Python, Scala, or SQL is essential, as is experience with ETL/ELT processes, data modeling, and business intelligence tools like Tableau or Power BI. Beyond technical prowess, exceptional strategic thinking, problem-solving capabilities, and outstanding communication and project management skills are non-negotiable for driving alignment and delivering on complex, cross-functional projects. If you are ready to lead the charge in the data revolution, exploring Data Analytics Senior Lead Engineer jobs is your next strategic move.

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