Data Control Executive

1 Month ago • 3 Years +

Job Summary

Job Description

The Data Control Executive will be responsible for ensuring data quality, integrity, and compliance across various business units. This role involves collaborating with cross-functional teams, utilizing technical skills in cloud, IoT, and blockchain technologies, and adhering to SDLC and agile practices. The executive will also identify and resolve data discrepancies, develop documentation, conduct audits, and support the implementation of new data management tools. The goal is to maintain data accuracy, improve stakeholder confidence, and drive compliance with industry standards.
Must have:
  • Familiarity with data management and governance tools.
  • Proficiency in scripting languages like Python, Java, or Node.js.
  • Experience with data quality tools and validation frameworks.
  • Knowledge of SDLC and Agile methodologies (Scrum).
Good to have:
  • Experience with cloud platforms (AWS, Azure, GCP) for data storage and processing.
  • Knowledge of IoT, blockchain, or mobile platform integrations.
  • Familiarity with data visualization tools (Tableau, Power BI).

Job Details

Job Summary

Synechron is seeking a detail-oriented and technically proficient Data Control Executive to join our data management team. This role involves overseeing data quality, integrity, and compliance across business units by working closely with cross-functional teams. The successful candidate will utilize strong technical understanding of emerging technologies like cloud, IoT, and blockchain, alongside SDLC and agile practices, to support accurate data governance and operational efficiency. This position plays a key role in safeguarding data quality, enabling informed decision-making, and driving compliance with industry standards.

Software Requirements

Required Skills:

  • Familiarity with data management and governance tools (e.g., Collibra, Informatica)
  • Proficiency in scripting or programming languages such as Python, Java, or Node.js (intermediate to advanced)
  • Experience with data quality tools and validation frameworks
  • Knowledge of SDLC and Agile methodologies (e.g., Scrum)

Preferred Skills:

  • Experience with cloud platforms (AWS, Azure, GCP) for data storage and processing
  • Knowledge of IoT, blockchain, or mobile platform integrations
  • Familiarity with data visualization tools (Tableau, Power BI)

Overall Responsibilities

  • Monitor and maintain data quality standards across multiple platforms and systems
  • Collaborate with cross-functional teams to understand data requirements and design solutions for ensuring data accuracy and compliance
  • Identify and resolve data discrepancies, inconsistencies, and anomalies in a timely manner
  • Develop and update technical documentation, data workflows, and validation procedures
  • Conduct data audits and quality assessments, ensuring alignment with regulatory and industry standards
  • Support the implementation of new data management tools, including configuration, testing, and deployment
  • Stay updated with emerging technology trends (cloud, IoT, blockchain) and assess their application to improve data governance processes
  • Provide technical support and troubleshooting for data-related issues, ensuring data security and privacy compliance

Performance outcomes:

  • High levels of data accuracy, consistency, and compliance
  • Efficient workflows and robust data validation processes
  • Improved stakeholder confidence in data integrity
  • Successful deployment of new tools or process improvements

Technical Skills (By Category)

Programming Languages (Required):

  • Python, Java, or Node.js — essential for automation, validation, and scripting
  • JavaScript — preferred for interface or reporting enhancements

Databases/Data Management:

  • SQL and NoSQL (MongoDB, DynamoDB) — essential for data querying and management
  • Knowledge of data modeling, normalization, and data warehousing — preferred

Cloud Technologies:

  • Cloud-based data storage and processing (AWS, Azure, GCP) — preferred

Frameworks and Libraries:

  • Data validation frameworks and ETL tools — preferred
  • APIs and integration tools for blockchain, IoT, or mobile data — advantageous

Development Tools and Methodologies:

  • Data versioning and configuration management (Git, Bitbucket) — required
  • Agile and SDLC methodologies — required

Security Protocols:

  • Data privacy, encryption, and compliance protocols — preferred

Experience Requirements

  • Minimum of 3+ years experience in data management, data governance, or related roles
  • Proven experience working with data quality, validation, and integrity programs in complex environments
  • Experience with emerging technologies such as cloud, IoT, or blockchain integration for data systems — preferred
  • Industry experience in finance, healthcare, or regulated industries — advantageous
  • Practical experience conducting data audits, implementing data standards, and collaborating with technical and business teams

Day-to-Day Activities

  • Daily review of data quality dashboards and reports to identify anomalies
  • Collaborate with IT, data engineers, and business teams to define data standards and controls
  • Conduct data validation, cleansing, and reconciliation procedures
  • Develop, execute, and improve data quality scripts or workflows
  • Document data processes and validation rules for audit and compliance purposes
  • Participate in daily stand-ups, planning sessions, and cross-team meetings
  • Support infrastructure enhancements involving cloud or blockchain data platforms
  • Troubleshoot data issues, coordinate with technical teams to resolve incidents

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science, or similar field
  • Certifications in data management, data governance, or relevant technology (e.g., CDMP, DAMA) — preferred
  • Extensive experience in data quality, validation, and management frameworks
  • Knowledge of compliance standards relevant to data (e.g., GDPR, HIPAA, industry-specific regulations)

Professional Competencies

  • Strong analytical and critical thinking skills for identifying data discrepancies and root causes
  • Effective communication skills to liaise with technical and non-technical stakeholders
  • Ability to work independently and prioritize tasks effectively
  • Adaptability to evolving technology landscapes (cloud, IoT, blockchain)
  • Strong problem-solving capabilities and attention to detail
  • Continuous learning attitude to keep pace with industry trends

S​YNECHRON’S DIVERSITY & INCLUSION STATEMENT
 

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.


All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

Candidate Application Notice

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About The Company

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies spanend-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in ourFinLabswe develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more.Over the last20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of14,500+,and has58offices in 21 countrieswithin key global markets.For more information on the company, please visit ourwebsiteorLinkedIncommunity.

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