Data Control Executive (Data Quality & Governance, Cloud, IoT & Blockchain Technologies)

Synechron
Full_timeβ€’India

πŸ“ Job Overview

  • Job Title: Data Control Executive (Data Quality & Governance, Cloud, IoT & Blockchain Technologies)
  • Company: Synechron
  • Location: Pune - Hinjewadi (Ascendas), India
  • Job Type: On-site, Full-time
  • Category: Data Management & Governance
  • Date Posted: June 13, 2025
  • Experience Level: Mid-level (2-5 years)
  • Remote Status: On-site

πŸš€ Role Summary

  • Data Steward: Oversee data quality, integrity, and compliance across business units, ensuring accurate and reliable data for informed decision-making.
  • Cross-functional Collaborator: Work closely with diverse teams to understand data requirements and design solutions for ensuring data accuracy and compliance.
  • Emerging Technologies Evangelist: Stay updated with emerging technologies (cloud, IoT, blockchain) and assess their application to improve data governance processes.
  • Problem Solver: Identify and resolve data discrepancies, inconsistencies, and anomalies in a timely manner, supporting data security and privacy compliance.

πŸ“ Enhancement Note: This role requires a strong technical background in data management and emerging technologies, with a focus on data quality, governance, and compliance. The ideal candidate will possess a unique blend of technical expertise, analytical skills, and stakeholder management capabilities.

πŸ’» Primary Responsibilities

  • Data Quality Management: Monitor and maintain data quality standards across multiple platforms and systems, ensuring high levels of data accuracy, consistency, and compliance.
  • Stakeholder Collaboration: Liaise with cross-functional teams to understand data requirements, design solutions, and ensure data accuracy and compliance.
  • Data Issue Resolution: Identify and resolve data discrepancies, inconsistencies, and anomalies, supporting data security and privacy compliance.
  • Data Audits & Assessments: Conduct data audits and quality assessments, ensuring alignment with regulatory and industry standards.
  • Technical Documentation: Develop and update technical documentation, data workflows, and validation procedures.
  • Tool Implementation & Support: Support the implementation of new data management tools, including configuration, testing, and deployment.
  • Emerging Technology Adoption: Stay updated with emerging technology trends (cloud, IoT, blockchain) and assess their application to improve data governance processes.
  • Troubleshooting & Support: Provide technical support and troubleshooting for data-related issues, ensuring data security and privacy compliance.

πŸ“ Enhancement Note: This role involves a mix of proactive data management, reactive issue resolution, and continuous improvement. The successful candidate will be comfortable working in a dynamic environment, balancing multiple priorities and tight deadlines.

πŸŽ“ Skills & Qualifications

Education:

  • Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science, or a related field.

Experience:

  • Minimum of 3+ years of 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).

Required Skills:

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

Preferred Skills:

  • Cloud Platforms: Experience with cloud platforms (AWS, Azure, GCP) for data storage and processing.
  • IoT & Blockchain: Knowledge of IoT, blockchain, or mobile platform integrations.
  • Data Visualization: Familiarity with data visualization tools (Tableau, Power BI).
  • Security Protocols: Knowledge of data privacy, encryption, and compliance protocols.

πŸ“ Enhancement Note: While the required skills are essential for this role, the preferred skills indicate areas where the ideal candidate can bring additional value and contribute to the company's technology roadmap.

πŸ“Š Web Portfolio & Project Requirements

Portfolio Essentials:

  • Demonstrate a strong track record of data quality improvement, with measurable results and stakeholder testimonials.
  • Showcase your ability to work with diverse teams, highlighting successful cross-functional collaborations and data-driven decision-making.
  • Include examples of data audits, quality assessments, and issue resolution, showcasing your problem-solving skills and attention to detail.
  • Highlight your experience with emerging technologies (cloud, IoT, blockchain), demonstrating your ability to adapt to new tools and platforms.

Technical Documentation:

  • Provide examples of technical documentation, data workflows, and validation procedures you have developed or maintained.
  • Showcase your ability to create clear, concise, and well-organized technical documentation that supports data governance and compliance efforts.

πŸ“ Enhancement Note: While a traditional web portfolio may not be applicable for this role, candidates should focus on demonstrating their data management and governance skills through relevant projects, case studies, and success stories.

πŸ’΅ Compensation & Benefits

Salary Range: INR 8-12 lakhs per annum (Based on experience and qualifications)

Benefits:

  • Competitive salary and performance-based bonuses.
  • Comprehensive health insurance and wellness programs.
  • Retirement savings plans and employee stock ownership plans.
  • Professional development opportunities, including training, certifications, and conference attendance.
  • Flexible work arrangements, including remote work and flexible hours.
  • A dynamic and inclusive work environment that fosters diversity, equity, and inclusion.

Working Hours: Full-time (40 hours per week), with flexible working hours and remote work options available.

πŸ“ Enhancement Note: The salary range provided is based on market research and industry standards for data management and governance roles in India. The benefits listed are based on the company's career page and may vary depending on the specific job offer.

🎯 Team & Company Context

🏒 Company Culture

Industry: Financial Services & Technology

Company Size: Medium (5,000-10,000 employees)

Founded: 2001

Team Structure:

  • The data management team consists of data analysts, data engineers, and data architects, working closely with business units to ensure accurate and reliable data.
  • The team follows an Agile/Scrum methodology, with regular sprint planning, daily stand-ups, and cross-functional collaboration.
  • The company encourages a culture of continuous learning and innovation, with a strong focus on emerging technologies and digital transformation.

Development Methodology:

  • Synechron follows an Agile/Scrum development methodology, with a focus on iterative development, continuous improvement, and regular stakeholder feedback.
  • The company emphasizes collaboration, knowledge sharing, and a test-driven approach to software development.
  • Synechron encourages a culture of innovation and experimentation, with dedicated time and resources allocated to research and development projects.

Company Website: https://www.synechron.com/en-in/

πŸ“ Enhancement Note: Synechron's culture emphasizes collaboration, innovation, and continuous learning, with a strong focus on emerging technologies and digital transformation. The company's size and industry context provide opportunities for career growth and exposure to diverse projects and technologies.

πŸ“ˆ Career & Growth Analysis

Data Management Career Level: This role is suited for a mid-level data management professional with 2-5 years of experience in data quality, governance, and compliance. The ideal candidate will have a strong technical background, proven experience working with data quality tools and frameworks, and a solid understanding of emerging technologies (cloud, IoT, blockchain).

Reporting Structure: The Data Control Executive will report directly to the Data Management Team Lead and work closely with cross-functional teams, including data engineers, data analysts, and business stakeholders.

Technical Impact: This role has a significant impact on data quality, accuracy, and compliance across business units. The successful candidate will play a crucial role in enabling informed decision-making, driving operational efficiency, and supporting the company's digital transformation initiatives.

Growth Opportunities:

  • Senior Data Management Roles: With experience and proven success in the Data Control Executive role, candidates can progress to senior data management roles, such as Data Management Team Lead or Data Governance Manager.
  • Technical Specialization: Candidates can specialize in specific data domains, such as data architecture, data engineering, or data analytics, expanding their technical skills and expertise.
  • Cross-functional Collaboration: Working closely with diverse teams, candidates can develop their leadership, project management, and stakeholder management skills, opening up opportunities in related fields, such as data strategy, data-driven decision-making, or data governance consulting.

πŸ“ Enhancement Note: Synechron offers a clear career progression path for data management professionals, with opportunities for technical specialization, leadership development, and cross-functional collaboration. The company's focus on emerging technologies and digital transformation provides ample opportunities for growth and learning.

🌐 Work Environment

Office Type: Modern, collaborative workspaces with dedicated team areas, meeting rooms, and breakout spaces.

Office Location(s): Pune - Hinjewadi (Ascendas), India

Workspace Context:

  • Collaboration: Synechron encourages a culture of collaboration, with open-plan workspaces, team-building activities, and regular social events.
  • Technology & Tools: The company provides state-of-the-art hardware, software, and development tools to support its employees' productivity and innovation.
  • Work-Life Balance: Synechron offers flexible work arrangements, including remote work and flexible hours, to support employees' work-life balance.

Work Schedule: Full-time (40 hours per week), with flexible working hours and remote work options available.

πŸ“ Enhancement Note: Synechron's work environment is designed to foster collaboration, innovation, and work-life balance. The company's focus on emerging technologies and digital transformation provides ample opportunities for professional growth and development.

πŸ“„ Application & Technical Interview Process

Interview Process:

  1. Phone/Video Screen: A brief conversation to assess communication skills, cultural fit, and basic technical competencies.
  2. Technical Assessment: A hands-on assessment or take-home project to evaluate problem-solving skills, data management expertise, and coding proficiency.
  3. On-site Interview: A face-to-face meeting with the hiring manager, data management team members, and relevant stakeholders to discuss the role, company culture, and career growth opportunities.
  4. Final Decision: A comprehensive review of the candidate's application materials, interview performance, and technical assessment results to make a final hiring decision.

Portfolio Review Tips:

  • Highlight your experience with data quality tools, validation frameworks, and emerging technologies (cloud, IoT, blockchain).
  • Include examples of data audits, quality assessments, and issue resolution, demonstrating your problem-solving skills and attention to detail.
  • Showcase your ability to work with diverse teams, highlighting successful cross-functional collaborations and data-driven decision-making.
  • Tailor your portfolio to the specific role and company, emphasizing the skills and experiences most relevant to the Data Control Executive position.

Technical Challenge Preparation:

  • Brush up on your data management and governance skills, with a focus on data quality, validation, and compliance.
  • Familiarize yourself with emerging technologies (cloud, IoT, blockchain) and their application to data governance processes.
  • Prepare for hands-on assessments or take-home projects, focusing on problem-solving, data analysis, and coding proficiency.
  • Research Synechron's company culture, values, and mission, and be prepared to discuss how your skills and experiences align with the Data Control Executive role.

πŸ“ Enhancement Note: Synechron's interview process is designed to assess candidates' technical competencies, cultural fit, and potential for growth within the organization. The company values candidates who are passionate about data management, emerging technologies, and continuous learning.

πŸ›  Technology Stack & Web Infrastructure

Data Management & Governance Tools:

  • Collibra
  • Informatica
  • Talend
  • Microsoft SQL Server
  • MySQL
  • MongoDB
  • Amazon Web Services (AWS)
  • Microsoft Azure
  • Google Cloud Platform (GCP)

Programming Languages:

  • Python
  • Java
  • Node.js
  • JavaScript
  • SQL

Data Visualization Tools:

  • Tableau
  • Power BI

πŸ“ Enhancement Note: Synechron's technology stack includes a mix of data management and governance tools, cloud platforms, and programming languages. The company encourages its employees to stay updated with emerging technologies and tools, fostering a culture of continuous learning and innovation.

πŸ‘₯ Team Culture & Values

Data Management Values:

  • Accuracy: Synechron prioritizes data accuracy, consistency, and compliance, ensuring reliable and trustworthy data for informed decision-making.
  • Integrity: The company values data integrity, with a strong focus on data quality, validation, and governance processes.
  • Collaboration: Synechron encourages cross-functional collaboration, with a focus on working closely with business units to understand data requirements and design solutions.
  • Continuous Improvement: The company fosters a culture of continuous learning and improvement, with a strong focus on emerging technologies and digital transformation.

Collaboration Style:

  • Cross-functional Integration: Synechron emphasizes collaboration between data management, data engineering, data analytics, and business teams to ensure accurate, reliable, and compliant data.
  • Code Review Culture: The company encourages a culture of code review, knowledge sharing, and peer programming to support continuous learning and improvement.
  • Mentoring & Knowledge Sharing: Synechron provides opportunities for mentoring, training, and knowledge sharing, fostering a culture of learning and growth.

πŸ“ Enhancement Note: Synechron's data management values and collaboration style emphasize accuracy, integrity, collaboration, and continuous improvement. The company's culture fosters a dynamic and inclusive work environment, with opportunities for professional growth and development.

⚑ Challenges & Growth Opportunities

Technical Challenges:

  • Data Quality & Compliance: Ensure high levels of data accuracy, consistency, and compliance across multiple platforms and systems, working with diverse teams to design and implement data quality and validation processes.
  • Emerging Technologies: Stay updated with emerging technologies (cloud, IoT, blockchain) and assess their application to improve data governance processes, supporting the company's digital transformation initiatives.
  • Data Integration: Collaborate with cross-functional teams to integrate data from diverse sources, ensuring accurate and reliable data for reporting, analytics, and decision-making.
  • Data Security & Privacy: Ensure data security and privacy compliance, supporting the company's commitment to data protection and ethical business practices.

Learning & Development Opportunities:

  • Technical Skills Development: Expand your technical skills in data management, governance, and emerging technologies (cloud, IoT, blockchain) through training, certifications, and hands-on projects.
  • Career Progression: Progress to senior data management roles, technical specialization, or cross-functional collaboration opportunities, with a clear career path and growth potential within the organization.
  • Industry Networking: Engage with industry peers, attend conferences, and participate in professional organizations to expand your network and stay updated with emerging trends and best practices in data management and governance.

πŸ“ Enhancement Note: Synechron presents numerous technical challenges and learning opportunities for data management professionals, with a strong focus on emerging technologies, data integration, and data security. The company's culture of continuous learning and innovation fosters a dynamic and inclusive work environment, supporting professional growth and development.

πŸ’‘ Interview Preparation

Technical Questions:

  • Data Quality & Governance: Describe your experience with data quality tools, validation frameworks, and governance processes. Provide specific examples of data audits, quality assessments, and issue resolution.
  • Emerging Technologies: Discuss your familiarity with emerging technologies (cloud, IoT, blockchain) and their application to data governance processes. Provide specific examples of how you have leveraged these technologies to improve data quality, accuracy, and compliance.
  • Problem-Solving: Present a challenging data management or governance issue you have faced in the past and explain how you identified, analyzed, and resolved the problem. Highlight the tools, techniques, and stakeholder communication strategies you employed to achieve a successful outcome.

Company & Culture Questions:

  • Company Culture: Describe what you understand about Synechron's company culture, values, and mission. Explain how your skills, experiences, and personal values align with the Data Control Executive role and the company's broader objectives.
  • Data Management Team: Discuss your understanding of Synechron's data management team structure, roles, and responsibilities. Explain how you would collaborate with cross-functional teams to ensure data accuracy, compliance, and operational efficiency.
  • Data-Driven Decision-Making: Describe your experience with data-driven decision-making processes. Explain how you have used data insights to inform business strategies, improve operational efficiency, and drive growth.

Portfolio Presentation Strategy:

  • Data Quality & Governability: Highlight your experience with data quality tools, validation frameworks, and governance processes. Include specific examples of data audits, quality assessments, and issue resolution, demonstrating your problem-solving skills and attention to detail.
  • Emerging Technologies: Showcase your familiarity with emerging technologies (cloud, IoT, blockchain) and their application to data governance processes. Include specific examples of how you have leveraged these technologies to improve data quality, accuracy, and compliance.
  • Collaboration & Stakeholder Management: Demonstrate your ability to work with diverse teams, highlighting successful cross-functional collaborations and data-driven decision-making. Include specific examples of how you have managed stakeholder expectations, communicated complex data concepts, and facilitated consensus-building and decision-making.

πŸ“ Enhancement Note: Synechron's interview process is designed to assess candidates' technical competencies, cultural fit, and potential for growth within the organization. The company values candidates who are passionate about data management, emerging technologies, and continuous learning.

πŸ“Œ Application Steps

To apply for this Data Control Executive position at Synechron:

  1. Review the Job Description: Thoroughly read and understand the job description, ensuring you meet the required qualifications and skills.
  2. Tailor Your Resume: Customize your resume to highlight your relevant experience, skills, and accomplishments, focusing on data management, governance, and emerging technologies (cloud, IoT, blockchain).
  3. Prepare Your Portfolio: Curate a portfolio that showcases your experience with data quality tools, validation frameworks, and governance processes. Include specific examples of data audits, quality assessments, and issue resolution, demonstrating your problem-solving skills and attention to detail.
  4. Research the Company: Familiarize yourself with Synechron's company culture, values, and mission. Understand the company's industry context, data management challenges, and growth opportunities.
  5. Prepare for the Interview: Brush up on your technical skills, review your portfolio, and practice common interview questions and answers. Research Synechron's technology stack, data management tools, and emerging technologies (cloud, IoT, blockchain) to demonstrate your expertise and enthusiasm for the role.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and web technology industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.


Application Requirements

Candidates should have a minimum of 3 years of experience in data management or governance, with a strong understanding of data quality and validation frameworks. Familiarity with emerging technologies such as cloud, IoT, and blockchain is preferred, along with relevant certifications.