Data Ops Capability Deployment Lead Analyst - SVP, C14 - Banking & International, Pune

TOWER B, EON FREE ZONE II, India

Citi

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The Data Ops Capability Tooling Deployment Lead is a senior role in B&I Data Organization. This role integrates subject matter expertise in Data operations, technology and industry asset class expertise. Requires in-depth understanding of how various data technology areas collectively integrate within an organization as well as coordinate and contribute to the objectives of overall business. The primary purpose of this role is to build Data Ops capabilities architecture understanding across different asset classes, and to build data science/Tooling capabilities within the team. This will involve working closely with the wider Enterprise Data team, in particular the front to back leads to deliver business priorities.

Responsibilities: 

  • Understand the Data Ops Capabilities for the firm and build a deployment plan in partnership with Team Operations Lead
  • Design, develop, visualize and implement data architectures across front to back asset classes for the B&I Data team stakeholders.
  • Provide technical view and expertise on Data capabilities/Tooling.
  • Build best practices for data operations modelling, data controls, data integration, data pipelining, and data delivery.
  • Lead the definition and ongoing management of target data architecture.
  • Working in conjunction with information owners and technology partners to define and implement the target state architecture for B&I Data.
  • Establishing a governance process to oversee implementation activities and ensure ongoing alignment to the defined architecture.
  • Manage a team of sr. analysts and anallysts to build analytical capability and dashboards
  • Work closely with cross-functional teams e.g. Business Analysis, Product Assurance, Platforms and Infrastructure, Business Office, Control and Production Support. Prepare handover documents and manage SIT, UAT and Implementation.
  • Demonstrate an in-depth understanding of how the development function integrates within overall business/technology to achieve objectives; requires a good understanding of the banking industry.
  • Responsible for the overall direction, coordination, implementation, execution, control and completion of the program / project and associated dependencies
  • Oversee data governance and/or Data Risk and Controls and work closely with business/functions to ensure practices are embedded throughout the enterprise
  • Leads reengineering efforts in B&I Data Capability deployment methodology, strategy, and team goals

Qualifications:

  • Bachelor's degree in computer science, Engineering, or a related field.
  • 15+ years of relevant experience as a Technical Lead or similar role in Data Engineering including experience with data visualization tools and data integration platforms.
  • 10+ years of Team management experience
  • Extensive experience with data modelling, SQL, implementing stored procedures and functions and other data manipulation languages
  • Strong understanding of data warehousing and data architecture principles.
  • Project Management experience and certification is desirable
  • Deep subject matter expertise around Data Governance and/or Data risk, control framework and policy development
  • Demonstrates consistent track record of having worked as a Program or Project Manager, or working on large, strategic cross-functional projects
  • Strong business analysis competency with historic success in shaping opportunities via conceptual thinking and abstract problem-solving capabilities
  • Communicates effectively, develops and delivers multi-mode communications that convey a clear understanding of the unique needs of different audiences; able to drive consensus, and influence relationships at all levels
  • Collaborates effectively by building partnerships and working well with others to meet shared objectives
  • Strong analytical and problem-solving skills, appreciation of the enterprise data vision
  • Experience creating and executing against frameworks that improve the quality and value of data to meet regulatory commitments and enhance risk management. Experience leveraging glossary, lineage, and data quality tools to drive governance
  • Optimizes work processes by balancing effective / efficient processes with a focus on continuous improvement. Demonstrates ability to balance between seeing the big picture while paying close attention to detail
  • Organizational savvy: understands systems, management processes, knows where to go for information and how to interpret them
  • Working knowledge of Data Operating Model practices, Data Governance and Data Compliance within large, financial services firms

Education:

  • Bachelor's/University degree, Master's degree preferred

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Job Family Group:

Data Governance

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Job Family:

Data Governance Foundation

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Time Type:

Full time

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Tags: Architecture Banking Computer Science Data governance DataOps Data quality Data visualization Data Warehousing Engineering SQL

Perks/benefits: Career development Team events Transparency

Region: Asia/Pacific
Country: India

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