Data Quality Expert

1 week ago

Bengaluru, Karnataka, India ALSTOM Full time
Req ID:399487

We create smart innovations to meet the mobility challenges of today and tomorrow.

We design and manufacture a complete range of transportation systems, from high-speed trains to electric buses and driverless trains, as well as infrastructure, signalling and digital mobility solutions.

Joining us means joining a truly global community of more than
75 000 people dedicated to solving real-world mobility challenges and achieving international projects with sustainable local impact.

In the Digital Transformation Department, Enterprise Data team is working closely with all Functions (transformation programs, function methods and tools...)

and Regions to:

  • Be responsible for the entire enterprise data landscape on the full data lifecycle covering business requirements & specifications, functional governance and technical platforms.
  • Guide the organization to create value from enterprise data by improving data operations, data quality, as well as the business understanding of the data through data culture & literacy program.
  • Provide and support the technologies needed to collect, store, access and propagate the data to ensure they support the enterprise's objectives around data usage and governance.
Within Enterprise Data, Business Data department mission is to get the most business value from our data assets:

  • Ensure alignment between business needs, solution design, and data standards and policies
  • Coordinate métiers and functions to ensure requirements coverage by the deployed data solutions
  • Understand data with business analysis, data modeling, data mapping & functional knowledge
  • Ability to explain business use cases with data storytelling
  • Ensure end to end data consistency with detection, correction, as well as prevention
  • Deliver data quality score card to monitor continuous data improvement in collaboration with data owners
  • Manage data creations, updates and validation with associated standard operational procedures
  • Ensure compliance with defined processes in accordance with guidance from Data Owner/BPOs
  • Centralize Data Codification, Increase Data Quality, Improve end to end consistency
  • Enforce data management process (architecture, ownership, quality, access & protection...)
  • Collect data management best practice and complete benchmarks

Purpose of the role
Reporting to the Head of Business Data, and working closely with other Digital Transformation Teams, Methods and Tools departments, Regions and Sites, you will contribute to:

  • Consolidate, sustain and coordinate data quality initiatives
  • Setup and manage a data quality road map for Alstom on critical data sets
  • Measure data quality levels and impacts on business processes efficiency
  • Monitor and enhance data quality, to optimize performance and adoption of solutions (process and tools)
  • Coordinate action plans with data owners, data stewards, data operations team, as well as IS&T data teams and partners
  • Ensure good coordination between key stakeholders for Data projects such as Orchestra (data repository), central reporting cockpits, Data Literacy
  • Measure and Promote business value brought by data quality management and define a continuous improvement approach
  • Federate, onboard and train the data quality community (Data Owners, Data Stewards, Digital Transformation Teams) on the data quality program, support change management effort
  • Identify business needs linked to the convergence approach for the new Alstom following the acquisition of Bombardier

Responsibilities

As a data quality manager, you will:

  • Improving the performance of strategic, operational and decision-making processes by providing good quality dataDefine, develop, manage & sustain a Data Quality Management framework, including:
  • Applicable standards for KPIs definition and measurement
  • Data Quality Management policies, processes, activities and organization
  • Tools for data quality processes and activities automation
  • Communication & training material to increase all employees' awareness
  • Best practices and REx consolidation
  • Monitor the performance and demonstrate the added value of the data quality discipline.
  • Identify key improvements to the Data Quality Framework and define a continuous improvement approach for data quality management
  • Engage with Data Sponsors/Owners to build the data quality roadmap and ensure their satisfaction
  • Ensure data quality operational activities are aligned with the data strategy
  • Define acceptable data quality levels and Support key stakeholders to reach their Data Quality targets
  • Federate, onboard and train the data quality community on the data quality Framework, support change management effort
  • Promote agility by testing new ways of spreading the data quality knowledge and engaging with the teams to promote a strong data culture Orchestrate data quality initiatives across the organization and monitor the execution of remediation plans
  • Collaborate with transforma

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