Data Architect

1 week ago

Bangalore, India Data Inc Full time

Job Title: Data Architect

Location: Pune/Hyderabad/Bangalore

Vacancy Type: Fixed Term contract (6 Months initial)

Pay rate:- -

Role purpose (overall high-level summary of the role)

Data & Analytics Office (DAO) promotes a data-driven culture across bank through our strategy of:

  • Fix The Back Book: To protect our data we need robust policies for data management and enhanced governance e.g., data that is consumed from a trusted source, meets quality standards, and complies with regulatory obligations.
  • Engage Colleagues: Move to a data-led culture through enhanced training including on the job opportunities. Our talent is the glue between protecting our data and unlocking value for our customers.
  • Build Sustainable Capabilities: Value is unlocked when we deliver on the opportunities our well-managed data presents e.g., improving customer / colleague experience, increasing revenue, commercializing our data, optimizing capital, enhancing risk management, or reducing costs.

Bank is now embarking on a Group wide initiative to Digitize at scale. To achieve this, we need to simplify the way we deliver change in Bank and is moving to a Value Stream construct to align Businesses, Functions, Technology, Data and Operations behind a shared vision to deliver customer, colleague, and Group stakeholder outcomes through process design. They provide clear and documented processes between business strategy and the delivery of change across Business and Technology.

The role primarily supports supporting the Data Strategy by Defining the Data Reference Architecture and Standards and being able govern to these standards. This includes supporting the Creation of Conceptual Data Models for use by Data Architects across the bank.

Governance and Committee Memberships (membership of ExCos, Risk Management Meeting)

  • Programme Steering Committees
  • Working Groups
  • Design Authorities
  • Pods

Principal Accountabilities and Responsibilities ( e.g., for Business, Customers and Stakeholders; internal control environment, etc.)

Key accountabilities include:

  • Subject matter expert on the Data Value Stream Enabler which contains data architecture current state, future state, and roadmap for the transition.
  • Collaborate with stakeholders across various value streams to understand their requirements, data architecture plans and ensure alignment with Data Value Stream
  • Lead and own the development and implementation of architecture strategy and standards pertinent to the domain.
  • Establish Standards and Best practices – Develop / introduce, and enforce new practices, processes, operating model, techniques, products, services, technologies, and standards where needed against identified use cases, via the appropriate governance bodies.
  • Develop Reference Architecture – Create and maintain comprehensive data architecture reference models that serve as a blueprint for all data related initiatives across the bank.
  • Develop and maintain comprehensive enterprise-level data models that drive the application models. Ensure that the models align with overall data architecture strategy and support seamless integration and interoperability of data across the bank.
  • Act as the recognised technical expert associated with the relevant domain/systems.
  • Accountable design authority for technology decisions and leadership of the appropriate governance bodies
  • Stay abreast of technology trends and advise Technology and the business about potential benefits/impacts.
  • Provides motivational leadership, sets team performance expectations, and monitors progress.
  • Overall responsibility for supervising a department or a business unit/area team or manages delivery for most complex assignments.

Leadership & Teamwork

Key leadership and teamwork responsibilities include, but are not limited to:

  • Provides motivational leadership and support, helping to drive pod performance, and monitor progress.
  • Overall responsibility for supporting the team, managing delivery for complex assignments.
  • Excellent communication and collaboration skills, with the ability to engage effectively with stakeholders at all levels.
  • Collaborate with stakeholders across various value streams to understand their requirements, data architecture plans and ensure alignment with Data Value Stream

Functional Knowledge

  • Ability to align the data architecture with the business strategies and objectives.
  • Ability to assess and recommend new technologies and practices.
  • Data Architecture and Modelling: Expertise in data architecture principles, methodologies, and tools. Proficient in creating and managing enterprise data models.
  • Knowledge on industry recognized frameworks such a TOGAF and BIAN is preferred, though not mandatory.
  • Data Change Management - Skills required to understand, plan, implement and communicate change effectively. The types of change can be relatively broad, and include organisational, technology, data, or process changes. Data Change Management will typically work extensively with other teams to assemble the expertise required to deliver a given outcome, though with direct accountability for:
  • Decision-making to plan and implement the change.
  • Understand and shape the change required.
  • Governance support to ensure change is communicated, adheres to best practices and evidence decision-making appropriately.

If you are interested please send me your resume on with below details

Current Salary:

Expected Day rate:

Notice Period

Location

Are you fine with the hybrid role in Pune/Hyderabad/Bengaluru:

Regards

Tejaswini

Data INC

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