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25903340 Data Analytics Senior Lead Engineer (Senior Vice President) - CITIBANK N.A.

25903340 Data Analytics Senior Lead Engineer (Senior Vice President) - CITIBANK N.A.

CITIBANK N.A.D16 Upper East Coast, Bedok, Eastwood, Kew Drive, SG
4 days ago
Job description

Roles & Responsibilities

Whether you’re at the start of your career or looking to discover your next adventure, your story begins here. At Citi, you’ll have the opportunity to expand your skills and make a difference at one of the world’s most global banks. We’re fully committed to supporting your growth and development from the start with extensive on-the-job training and exposure to senior leaders, as well as more traditional learning. You’ll also have the chance to give back and make a positive impact where we live and work through volunteerism.

Shape your Career with Citi

Citibank serves as a trusted advisor to our retail, mortgage, small business and wealth management clients at every stage of their financial journey. Through Citi's Access Account, Basic Banking, Citi Priority, Citigold and Citigold Private Client, we offer an array of products, services and digital capabilities to clients across the full spectrum of consumer banking needs worldwide.

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.

Key Responsibilities

Strategic Leadership :

  • 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.

Team Management & Development :

  • 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.
  • Manage resource allocation, performance reviews, and career development plans for team members.
  • Solution Design & Implementation :

  • 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.
  • Ensure data quality, integrity, and governance across all data initiatives.
  • Stakeholder Collaboration :

  • 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.
  • Act as a subject matter expert and advocate for data-driven decision-making throughout the organization
  • Technology & Innovation :

  • 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.
  • Champion innovation in data collection, processing, storage, and analysis
  • Operational Excellence :

  • Establish and monitor key performance indicators (KPIs) for data analytics initiatives.
  • Ensure compliance with data privacy regulations (e.g., GDPR, CCPA) and internal security policies.
  • Manage project timelines, budgets, and deliverables, ensuring successful execution of all data projects.
  • Qualifications

  • Bachelor’s degree in Computer Science, Data Science, Statistics, Engineering, or a related quantitative field. Master's degree or MBA preferred.
  • Experience :

  • 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
  • Technical Skills :

  • 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 is preferred (like Collibra)
  • Leadership & Soft Skills :

  • Exceptional strategic thinking and problem-solving abilities.
  • Excellent communication, presentation, and interpersonal skills, with the ability to influence and engage stakeholders at all levels.
  • Strong organizational and project management skills, with the ability to manage multiple priorities in a fast-paced environment.
  • Demonstrated ability to build, motivate, and retain high-performing teams
  • Preferred Skills

  • 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.
  • How You’ll Succeed

    Be conscientious and consistent in identifying security vulnerabilities and working with the respective engineering teams and stakeholders to provide sound guidance and remediations. Be a team player, and a keen learner.

    Working at Citi is far more than just a job. A career with us means joining a family of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.

    Take the next step in your career, apply for this role at Citi today

    https : / / jobs.citi.com / dei

    Tell employers what skills you have

    Leadership

    Operational Excellence

    Scala

    Cognos

    Predictive Analytics

    Data Quality

    Soft Skills

    Data Governance

    Team Management

    Small Business

    Autosys

    S3

    Data Warehousing

    Data Strategy

    Data Visualization

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    Senior Data Engineer • D16 Upper East Coast, Bedok, Eastwood, Kew Drive, SG

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