Data Analytics Senior Lead Engineer, Citi

Citi

Location:
Singapore, Singapore

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

We are seeking an experienced and visionary Data Analytics Senior Lead Engineer (Senior Vice President) for our Big Data and Data Analytics team. This leadership role is critical for driving our data strategy, overseeing the development and implementation of advanced analytics solutions, and managing a team of data professionals. The successful candidate will leverage extensive experience in big data technologies, data warehousing, business intelligence, and advanced analytics to deliver actionable insights that drive business growth and operational efficiency. This role requires a blend of technical expertise, strategic thinking, and strong leadership capabilities to foster a data-driven culture and achieve organizational objectives.

Job Responsibility:

Define and execute the strategic roadmap for big data and data analytics initiatives, aligning with overall business objectives
Identify opportunities to leverage data for competitive advantage, innovation, and enhanced decision-making across the organization
Translate complex business problems into data analytics solutions and strategic programs
Lead, mentor, and develop a high-performing team of data scientists, data engineers, business intelligence analysts, and other data professionals
Foster a collaborative and innovative team environment, promoting continuous learning and professional growth
Oversee the design, development, and maintenance of scalable big data platforms, data warehouses, and data lakes
Drive the implementation of advanced analytics, machine learning models, and predictive analytics solutions
Partner with various business units (e.g., product, marketing, operations, finance) to understand their data needs and deliver tailored analytical solutions
Communicate complex analytical findings and recommendations to non-technical stakeholders and senior leadership effectively
Stay abreast of emerging big data technologies, analytics trends, and industry best practices
Evaluate and recommend new tools, platforms, and methodologies to enhance our data capabilities
Ensure compliance with data privacy regulations (e.g., GDPR, CCPA) and internal security policies
Manage project timelines, budgets, and deliverables.

Requirements:

Bachelor’s degree in Computer Science, Data Science, Statistics, Engineering, or a related quantitative field
Master's degree or MBA preferred
12+ years of progressive experience in big data, data analytics, business intelligence, or a related field
5+ years of leadership experience managing and growing large teams of data professionals (data scientists, data engineers, BI analysts)
Proven track record of delivering impactful data-driven solutions in a complex enterprise environment
Strong awareness of data tools and platforms like (e.g., Hadoop ecosystem, Spark, Kafka, Flink)
Proficiency in cloud-based data platforms (e.g., AWS) including services like Redshift, Snowflake, Starburst, S3, Dataiku
Strong expertise in data warehousing, ETL/ELT processes, and database technologies (SQL, NoSQL)
Advanced proficiency in programming languages such as Python, Spark, Scala, or Java for data analysis and model development
Experience with business intelligence and data visualization tools (e.g., Tableau, Cognos)
Good working knowledge of Batch job management using Autosys, data modelling (physical and logical), and awareness of data catalog tools (e.g., Collibra)
Exceptional strategic thinking and problem-solving abilities
Excellent communication, presentation, and interpersonal skills
Strong organizational and project management skills.

Nice to have:

Experience in the financial services industry or a heavily regulated environment
Familiarity with MLOps practices and deploying machine learning models into production
Knowledge of data governance frameworks and best practices
Certifications in cloud platforms or data analytics technologies.

Additional Information:

Job Posted:
September 19, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Data Analytics Senior Lead Engineer