Head Data Quality & Data Management

Description

• Provide thought leadership and industry standard methodologies on the right architecture, tool and governance model. Work on new ideas like using Data Quality for Artificial Intelligence, designing value Quantification approaches, data monetization opportunities etc.
• Develop and implement strategic goals for the team, aligned with organizational objectives.
• Collaborate with multi-functional teams to identify data quality issues and their impact on business processes. Drive and support the design and delivery of the projects to address data quality issues.
• Lead and mentor a team of data management professionals, providing guidance and fostering a collaborative environment.
• Develop and manage the organization's master data & reference data strategy, standards and processes to ensure consistency, accuracy, and reliability of master data across all business systems and support the integration and synchronization of reference data across various platforms.
• Ensure continuous professional development and performance management of team members.
• Support implementation of data quality metrics and reporting mechanisms to monitor and improve data accuracy and consistency across domains.
• Provide thought leadership on the right tools and approaches needed for data management in SE to make us future proof.
• Work with business to standardize and harmonize master data definitions and processes and identify and document master data and reference data entities.
• Offer strategic guidance and assistance to different data domains in Siemens Energy and collaborate effectively to enhance the implementation of the data governance framework.
• Oversee the establishment and enforcement of data quality standards and procedures.

Requirements

• Ability to work effectively in a fast-paced, dynamic environment and manage multiple priorities.
• Strong analytical, problem-solving, and decision-making abilities.
• Solid understanding of data quality, master data, and reference data management principles and practices.
• Experience with data modeling, data architecture, and database management systems is preferred.
• Proven track record of developing and implementing enterprise data quality, data management strategies and initiatives.
• Excellent leadership, communication, and interpersonal skills.
• Minimum of 8 years of experience in data management and data quality roles, in large scale enterprise set up with at least 3 years in a leadership capacity.
• Proficiency with data management tools and technologies, such as SQL, ETL tools, data governance platforms, and MDM solutions like Collibra, Informatica, or Ataccama, or Talend.
• Bachelor’s degree in information technology, Data Science, Business Administration, or a related field (Master’s degree preferred).

Benefits

• Continual learning through the Learn@Siemens-Energy platform
• Medical benefits
• Opportunities to work on and lead a variety of innovative projects
• Time off/Paid holidays and parental leave
• Opportunities to work with a distributed team

Training + Development

Interview process

Visa Sponsorship

Security clearance