13 Data Management jobs in Coimbatore

KMK is a global data analytics and technology consulting company empowering leaders across the Life Sciences industries to make better data-driven decisions. Our data analytics and software platforms support data science, commercial operations, real-world evidence, and cloud information management. We help to optimize business strategy and operations by delivering cutting-edge analytics from the broadest set of data sources, combined with deep technical and domain expertise. We enable commercial excellence by delivering analytical guidance to the field through SalesOps™, our cloud-based sales planning and operations platform.

We are leaders in managing data using the latest cloud information management and big data technologies. We have more than 220 employees worldwide, are growing rapidly, and are proud to count a number of the top 10 global Life Sciences companies as our customers. We serve clients with a high-touch on-site and onshore presence, leveraged by a global delivery platform

Associate/ Senior Associate, Data Management

Location: Remote (For India Candidates) Department: Analytics

Type: Full-Time Min. Experience: Experienced (2-4 yrs)

KMK is a global data analytics and technology consulting company empowering leaders across the Life Sciences industries to make better data-driven decisions.

Our data analytics and software platforms support data science, commercial operations, real-world evidence, and cloud information management. We help to optimize business strategy and operations by delivering cutting-edge analytics from the broadest set of data sources, combined with deep technical and domain expertise. We enable commercial excellence by delivering analytical guidance to the field through SalesOps™, our cloud-based sales planning and operations platform. We are leaders in managing data using the latest cloud information management and big data technologies.

We have more than 220 employees worldwide, are growing rapidly, and are proud to count a number of the top 10 global Life Sciences companies as our customers. We serve clients with a high-touch on-site and onshore presence, leveraged by a global delivery platform.

Overview: -

Partnering with the Onsite Data Management Leadership team and helping them to implement the Data Warehouse solution within the KMK internal system.

Key Responsibilities: -

• Understanding business processes and leveraging data design expertise to properly design database and reporting solutions that improve efficiency over the long term.
• Responsible for developing and maintaining the Analytics data warehouse and MDM, leveraging data from across a variety of internal applications and data vendors.
• Contribute to the design and development of technical solutions to ensure that business requirements are satisfied.
• Develops and deploys processes to establish and track data accuracy, completeness, and consistency within the data warehouse & MDM system.
• Utilize experience with- standard analytical, reporting and programming languages and their application (such as SQL, Alteryx, Informatica, Python, R, and Stored Procedure); data architecture, data integration/engineering, and business intelligence deployed in a complex environment; data and systems engineering concepts to effectively integrate and analyze data to develop actionable business information deliverables.
• Driving the adoption of data management and reporting tools for business users.
• Delivers data sets, views, and automated reporting to stakeholders on an as-needed basis.
• Documents ETL & MDM processes used for the data warehouse, data flow, and data quality to ensure visibility and transparency for stakeholders and boundary partners.

Qualification: -

• Professional work experience in Master Data Management, Hands-on experience with Master Data Management (full lifecycle gathering requirements, choosing/implementing tool, building solutions) preferred.
• Knowledge of an Enterprise-level Master Data Management platform such as Reltio MDM, Informatica MDM, Veeva Network, etc.
• Awareness of MDM trends, MDM Concepts, and other technologies in the market
• Demonstrated experience in data profiling, data modeling, and data analysis to support the requirements.
• High proficiency with the SQL language and database management
• Good understanding of ETL, analytics, and visualization tools like Informatica, Alteryx, Power BI, Python, Excel, and Tableau.

Education: -

Bachelor’s degree in computers/information systems and at least two years of related experience; or any equivalent combination of training and experience.

Benefits and Perks:

• Opportunity to work with Pharma/Life Science global customers.
• Challenging, transparent, and supportive work environment.
• Opportunity to grow rapidly in your career along with the company – get in at the right time!
• Competitive comp and benefits.
• Business casual dress policy.

KMK Consulting, Inc. is a fast-growing company with passionate, energetic, and dedicated people working in a dynamic and friendly environment. KMK Consulting, Inc. specializes in providing commercial operations support for the healthcare industry. We are hiring talented individuals who are interested in achieving individual and client’ success. KMK Consulting, Inc.

KMK is a global data analytics and technology consulting company empowering leaders across the Life Sciences industries to make better data-driven decisions. Our data analytics and software platforms support data science, commercial operations, real-world evidence, and cloud information management. We help to optimize business strategy and operations by delivering cutting-edge analytics from the broadest set of data sources, combined with deep technical and domain expertise. We enable commercial excellence by delivering analytical guidance to the field through SalesOps™, our cloud-based sales planning and operations platform.

We are leaders in managing data using the latest cloud information management and big data technologies. We have more than 220 employees worldwide, are growing rapidly, and are proud to count a number of the top 10 global Life Sciences companies as our customers. We serve clients with a high-touch on-site and onshore presence, leveraged by a global delivery platform

Associate/ Senior Associate, Data Management

Location: Remote (For India Candidates) Department: Analytics

Type: Full-Time Min. Experience: Experienced (2-4 yrs)

KMK is a global data analytics and technology consulting company empowering leaders across the Life Sciences industries to make better data-driven decisions.

Our data analytics and software platforms support data science, commercial operations, real-world evidence, and cloud information management. We help to optimize business strategy and operations by delivering cutting-edge analytics from the broadest set of data sources, combined with deep technical and domain expertise. We enable commercial excellence by delivering analytical guidance to the field through SalesOps™, our cloud-based sales planning and operations platform. We are leaders in managing data using the latest cloud information management and big data technologies.

We have more than 220 employees worldwide, are growing rapidly, and are proud to count a number of the top 10 global Life Sciences companies as our customers. We serve clients with a high-touch on-site and onshore presence, leveraged by a global delivery platform.

Overview: -

Partnering with the Onsite Data Management Leadership team and helping them to implement the Data Warehouse solution within the KMK internal system.

Key Responsibilities: -

• Understanding business processes and leveraging data design expertise to properly design database and reporting solutions that improve efficiency over the long term.
• Responsible for developing and maintaining the Analytics data warehouse and MDM, leveraging data from across a variety of internal applications and data vendors.
• Contribute to the design and development of technical solutions to ensure that business requirements are satisfied.
• Develops and deploys processes to establish and track data accuracy, completeness, and consistency within the data warehouse & MDM system.
• Utilize experience with- standard analytical, reporting and programming languages and their application (such as SQL, Alteryx, Informatica, Python, R, and Stored Procedure); data architecture, data integration/engineering, and business intelligence deployed in a complex environment; data and systems engineering concepts to effectively integrate and analyze data to develop actionable business information deliverables.
• Driving the adoption of data management and reporting tools for business users.
• Delivers data sets, views, and automated reporting to stakeholders on an as-needed basis.
• Documents ETL & MDM processes used for the data warehouse, data flow, and data quality to ensure visibility and transparency for stakeholders and boundary partners.

Qualification: -

• Professional work experience in Master Data Management, Hands-on experience with Master Data Management (full lifecycle gathering requirements, choosing/implementing tool, building solutions) preferred.
• Knowledge of an Enterprise-level Master Data Management platform such as Reltio MDM, Informatica MDM, Veeva Network, etc.
• Awareness of MDM trends, MDM Concepts, and other technologies in the market
• Demonstrated experience in data profiling, data modeling, and data analysis to support the requirements.
• High proficiency with the SQL language and database management
• Good understanding of ETL, analytics, and visualization tools like Informatica, Alteryx, Power BI, Python, Excel, and Tableau.

Education: -

Bachelor’s degree in computers/information systems and at least two years of related experience; or any equivalent combination of training and experience.

Benefits and Perks:

• Opportunity to work with Pharma/Life Science global customers.
• Challenging, transparent, and supportive work environment.
• Opportunity to grow rapidly in your career along with the company – get in at the right time!
• Competitive comp and benefits.
• Business casual dress policy.

KMK Consulting, Inc. is a fast-growing company with passionate, energetic, and dedicated people working in a dynamic and friendly environment. KMK Consulting, Inc. specializes in providing commercial operations support for the healthcare industry. We are hiring talented individuals who are interested in achieving individual and client’ success. KMK Consulting, Inc.

Responsibilities :

• Define project specifications for Data Management services, including Protocol Conversion, Database Build, CRF Design and Data Review and Data Reconciliation tools.
• Understand external data collection, its integration into the clinical trial, and the management and reconciliation processes required to ensure its accuracy and relevance.
• Execute data cleaning strategies to accelerate the time to achieve subject data cleanliness and ensure high-quality, timely deliverables.
• Perform holistic data review and trending analysis via reporting and elluminate® analytics to proactively identify issue, risks and develop mitigation strategies.
• Utilize artificial intelligence (AI) and machine learning (ML) for anomaly and outlier detection to enhance the efficiency and quality of trial data.
• Monitor and interpret key performance indicators (KPIs), metrics, dashboards, Clinical Trial Operational Analytics (CTOA), and reports to provide actionable recommendations to study lead(s)/project manager.
• Perform Query Management.
• Define specifications and collaborate with technical team on configuration of centralized data management platform, elluminate® Data Central for data cleaning strategy and oversight activities.
• Prepare and maintain data management documentation (e.g., DMP, CCGs, Help Text, DVS) and update throughout trial lifecycle.
• Review and ensure the quality control of team-developed deliverables, covering eCRFs, study documents, program/report specifications, outputs, and elluminate® Data Central with analytics modules. Actively evaluate and contribute to enhance processes to increase efficiency and effectiveness.
• Collaborate and work as a team to ensure the deliverables are completed on time with high quality.
• Ensure compliance with industry quality standards, regulations, guidelines, and procedures.
• Other duties as assigned.

Responsible for vendor oversight activities across global development programs. Represents data management function on the Clinical Sub-team ensuring aligned expectations between the CRO and Takeda for all data related deliverables, especially in support of key decision points and regulatory submissions.

* Partners with appropriate stakeholders and CRO partners to mitigate and resolve risks.

* Partners with appropriate stakeholders to resolves issues escalated from the vendor and/or cross-functional teams.

* For studies where data management activities are conducted within Takeda, leads and manages clinical trial data collection set-up, data review, and database lock: (a) Works with other functions to complete set up of EDC and other study data collection tools such as IRT, ePRO and eCOA. (b) Leads the creation and maintenance of study data cleaning plan components, including edit checks (data validation plan), listing review checks, data integration specifications, data transfer specifications, external data reconciliation plan(s), coding guidelines, SAE reconciliation guidelines, database lock plans. (c) Leads data review, including query management, and leads activities required for interim and final database locks. (d) May oversee above activities at the program level.

* Participates in preparing function for submission readiness.

* Ensure archival and inspection readiness of all Data Management Trial Master File (TMF) documents.

* Ensures achievement of major data management deliverables and milestones in coordination with other functions including the Therapeutic Area Units, Clinical Operations, Statistical Programming and Statistics.

* Responsible for the planning and management of external Data Management budgets and timelines to ensure accuracy, understand trends in variances and support continuous improvement in forecasting.

* Acts as a process expert for operational and oversight models.

* May prepare metrics to support the function’s KPIs.

* Contributes to functional Continuous Improvement initiatives, providing strategic direction and identifying key deliverables that meet timelines, budget, and are in alignment with company, departmental or functional requirements.

Responsible for vendor oversight activities across global development programs. Represents data management function on the Clinical Sub-team ensuring aligned expectations between the CRO and Takeda for all data related deliverables, especially in support of key decision points and regulatory submissions.

* Partners with appropriate stakeholders and CRO partners to mitigate and resolve risks.

* Partners with appropriate stakeholders to resolves issues escalated from the vendor and/or cross-functional teams.

* For studies where data management activities are conducted within Takeda, leads and manages clinical trial data collection set-up, data review, and database lock: (a) Works with other functions to complete set up of EDC and other study data collection tools such as IRT, ePRO and eCOA. (b) Leads the creation and maintenance of study data cleaning plan components, including edit checks (data validation plan), listing review checks, data integration specifications, data transfer specifications, external data reconciliation plan(s), coding guidelines, SAE reconciliation guidelines, database lock plans. (c) Leads data review, including query management, and leads activities required for interim and final database locks. (d) May oversee above activities at the program level.

* Participates in preparing function for submission readiness.

* Ensure archival and inspection readiness of all Data Management Trial Master File (TMF) documents.

* Ensures achievement of major data management deliverables and milestones in coordination with other functions including the Therapeutic Area Units, Clinical Operations, Statistical Programming and Statistics.

* Responsible for the planning and management of external Data Management budgets and timelines to ensure accuracy, understand trends in variances and support continuous improvement in forecasting.

* Acts as a process expert for operational and oversight models.

* May prepare metrics to support the function’s KPIs.

* Contributes to functional Continuous Improvement initiatives, providing strategic direction and identifying key deliverables that meet timelines, budget, and are in alignment with company, departmental or functional requirements.

We are hiring for our US Client in Chicago IL

ENGLISH PROFICIENCY MANDATE - VERBAL AND WRITTEN - NEED TO HAVE AN EXCELLENT COMMUNICATION SKILLS

5-15 years of experience is preferred.

Experience with Agile based development

Problem solving skills

Proficiency in writing performant SQL Queries/Scripts to generate business insights and drive better organizational decision making.

5 months contract ; May extend

100 % Remote

US Shift -CST/EST time zone need support

Work Hours - 7:30 PM -3:30 AM (night shift from INDIA)

We pay in INR/USD based on Candidate interest

This is a Fulltime contract position

Job Summary:

We are seeking a skilled and detail-oriented Snowflake Developer to design, develop, and maintain scalable data solutions using the Snowflake platform. The ideal candidate will have experience in data warehousing, ETL/ELT processes, and cloud-based data architecture.

Key Responsibilities:

• Design and implement data pipelines using Snowflake, SQL, and ETL tools.

• Develop and optimize complex SQL queries for data extraction and transformation.

• Create and manage Snowflake objects such as databases, schemas, tables, views, and stored procedures.

• Integrate Snowflake with various data sources and third-party tools.

• Monitor and troubleshoot performance issues in Snowflake environments.

• Collaborate with data engineers, analysts, and business stakeholders to understand data requirements.

• Ensure data quality, security, and governance standards are met.

• Automate data workflows and implement best practices for data management.

Required Skills and Qualifications:

• Proficiency in Snowflake SQL and Snowflake architecture.

• Experience with ETL/ELT tools (e.g., Informatica, Talend, dbt, Matillion).

• Strong knowledge of cloud platforms (AWS, Azure, or GCP).

• Familiarity with data modeling and data warehousing concepts.

• Experience with Python, Java, or Shell scripting is a plus.

• Understanding of data security, role-based access control, and data sharing in Snowflake.

• Excellent problem-solving and communication skills.

Preferred Qualifications:

• Snowflake certification (e.g., SnowPro Core).

• Experience with CI/CD pipelines and DevOps practices.

• Knowledge of BI tools like Tableau, Power BI, or Looker.

5-15 years of experience is preferred.

Experience with Agile based development

Problem solving skills

Proficiency in writing performant SQL Queries/Scripts to generate business insights and drive better organizational decision making.

About McDonald’s:

One of the world’s largest employers with locations in more than 100 countries, McDonald’s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe.

Position Summary:

Data Governance Tooling & Lifecycle Mgmt. Lead: (Sr Manager, Data Operations & Management)

As the Data Governance Tooling & Lifecycle Management Lead, you will be responsible for the end-to-end strategy, implementation, and operations of data governance tooling and processes across the enterprise. This role leads efforts to enable scalable metadata management, data lineage, data lifecycle governance, and access policy enforcement—using modern platforms such as Collibra and supporting a cloud-native data stack spanning GCP, AWS, BigQuery, and Redshift. You will collaborate across data engineering, architecture, compliance, and analytics teams to ensure data is governed, discoverable, and trusted throughout its lifecycle.

Who we are looking for:

Primary Responsibilities:

Governance Tooling Ownership:

• Own the architecture, implementation, and administration of enterprise data governance platforms (e.g., Collibra).
• Define and evolve governance workflows, including stewardship assignments, metadata curation, approval processes, and policy enforcement.
• Integrate governance tooling with cloud platforms, data warehouses, and cataloging solutions to enable real-time governance at scale.

Lifecycle Management Strategy:

• Develop and implement strategies for data lifecycle governance from ingestion and active use through archival and deletion.
• Ensure that data retention, archival, and purging practices align with compliance regulations and business needs.
• Partner with cloud and infrastructure teams to operationalize lifecycle rules across GCP, AWS, and warehouse platforms (e.g., BigQuery, Redshift).

Metadata & Lineage Enablement:

• Drive adoption and quality of technical and business metadata, ensuring traceability and data understanding across systems.
• Lead initiatives to automate and visualize end-to-end data lineage across source systems, pipelines, warehouses, and BI tools.

Policy Management & Compliance:

• Collaborate with legal, compliance, and security teams to define and enforce data access, classification, and privacy policies.
• Ensure tooling supports regulatory compliance frameworks (e.g., GDPR, CCPA, HIPAA) and internal audit requirements.

Collaboration & Enablement:

• Work with data stewards, engineers, and product teams to ensure governance tooling meets user needs and drives adoption.
• Support enablement efforts through training, documentation, and tooling best practices.
• Report on governance adoption, data quality KPIs, and policy coverage to senior leadership and data councils.

Skill:

• 11+ years of experience in data governance, metadata management, or data operations, with 3+ years owning enterprise tooling or lifecycle processes.
• Deep expertise in:
• Data governance platforms (e.g., Collibra, Alation, Informatica)
• Metadata and lineage management
• Cloud platforms: GCP (BigQuery, Cloud Storage), AWS (Redshift, S3)
• SQL and enterprise-scale ETL/ELT pipelines
• Integration with enterprise data platforms, pipelines, and BI tools
• Strong understanding of compliance and regulatory data handling practices.
• Excellent project management and stakeholder communication skills across technical and business domains.
• Bachelor’s or Master’s degree in Data Management, Information Systems, Computer Science, or related field.

Preferred Experience:

• Experience in Retail or QSR environments managing governance across global data operations.
• Exposure to data product ownership, data mesh, or federated governance models.
• Familiarity with APIs and automation scripts to extend and integrate governance workflows with data pipelines and CI/CD processes.
• Current GCP Associates (or Professional) Certification.

Work location : Hyderabad, India

Work pattern: Full time role.

Work mode: Hybrid.

Additional Information:

McDonald’s is committed to providing qualified individuals with disabilities with reasonable accommodations to perform the essential functions of their jobs. McDonald’s provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to sex, sex stereotyping, pregnancy (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), race, color, religion, ancestry or national origin, age, disability status, medical condition, marital status, sexual orientation, gender, gender identity, gender expression, transgender status, protected military or veteran status, citizenship status, genetic information, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. McDonald’s Capability Center India Private Limited (“McDonald’s in India”) is a proud equal opportunity employer and is committed to hiring a diverse workforce and sustaining an inclusive culture. At McDonald’s in India, employment decisions are based on merit, job requirements, and business needs, and all qualified candidates are considered for employment. McDonald’s in India does not discriminate based on race, religion, colour, age, gender, marital status, nationality, ethnic origin, sexual orientation, political affiliation, veteran status, disability status, medical history, parental status, genetic information, or any other basis protected under state or local laws. Nothing in this job posting or description should be construed as an offer or guarantee of employment.

About McDonald’s:

One of the world’s largest employers with locations in more than 100 countries, McDonald’s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe.

Position Summary:

Data Governance Tooling & Lifecycle Mgmt. Lead: (Sr Manager, Data Operations & Management)

As the Data Governance Tooling & Lifecycle Management Lead, you will be responsible for the end-to-end strategy, implementation, and operations of data governance tooling and processes across the enterprise. This role leads efforts to enable scalable metadata management, data lineage, data lifecycle governance, and access policy enforcement—using modern platforms such as Collibra and supporting a cloud-native data stack spanning GCP, AWS, BigQuery, and Redshift. You will collaborate across data engineering, architecture, compliance, and analytics teams to ensure data is governed, discoverable, and trusted throughout its lifecycle.

Who we are looking for:

Primary Responsibilities:

Governance Tooling Ownership:

• Own the architecture, implementation, and administration of enterprise data governance platforms (e.g., Collibra).
• Define and evolve governance workflows, including stewardship assignments, metadata curation, approval processes, and policy enforcement.
• Integrate governance tooling with cloud platforms, data warehouses, and cataloging solutions to enable real-time governance at scale.

Lifecycle Management Strategy:

• Develop and implement strategies for data lifecycle governance from ingestion and active use through archival and deletion.
• Ensure that data retention, archival, and purging practices align with compliance regulations and business needs.
• Partner with cloud and infrastructure teams to operationalize lifecycle rules across GCP, AWS, and warehouse platforms (e.g., BigQuery, Redshift).

Metadata & Lineage Enablement:

• Drive adoption and quality of technical and business metadata, ensuring traceability and data understanding across systems.
• Lead initiatives to automate and visualize end-to-end data lineage across source systems, pipelines, warehouses, and BI tools.

Policy Management & Compliance:

• Collaborate with legal, compliance, and security teams to define and enforce data access, classification, and privacy policies.
• Ensure tooling supports regulatory compliance frameworks (e.g., GDPR, CCPA, HIPAA) and internal audit requirements.

Collaboration & Enablement:

• Work with data stewards, engineers, and product teams to ensure governance tooling meets user needs and drives adoption.
• Support enablement efforts through training, documentation, and tooling best practices.
• Report on governance adoption, data quality KPIs, and policy coverage to senior leadership and data councils.

Skill:

• 11+ years of experience in data governance, metadata management, or data operations, with 3+ years owning enterprise tooling or lifecycle processes.
• Deep expertise in:
• Data governance platforms (e.g., Collibra, Alation, Informatica)
• Metadata and lineage management
• Cloud platforms: GCP (BigQuery, Cloud Storage), AWS (Redshift, S3)
• SQL and enterprise-scale ETL/ELT pipelines
• Integration with enterprise data platforms, pipelines, and BI tools
• Strong understanding of compliance and regulatory data handling practices.
• Excellent project management and stakeholder communication skills across technical and business domains.
• Bachelor’s or Master’s degree in Data Management, Information Systems, Computer Science, or related field.

Preferred Experience:

• Experience in Retail or QSR environments managing governance across global data operations.
• Exposure to data product ownership, data mesh, or federated governance models.
• Familiarity with APIs and automation scripts to extend and integrate governance workflows with data pipelines and CI/CD processes.
• Current GCP Associates (or Professional) Certification.

Work location : Hyderabad, India

Work pattern: Full time role.

Work mode: Hybrid.

Additional Information:

McDonald’s is committed to providing qualified individuals with disabilities with reasonable accommodations to perform the essential functions of their jobs. McDonald’s provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to sex, sex stereotyping, pregnancy (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), race, color, religion, ancestry or national origin, age, disability status, medical condition, marital status, sexual orientation, gender, gender identity, gender expression, transgender status, protected military or veteran status, citizenship status, genetic information, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. McDonald’s Capability Center India Private Limited (“McDonald’s in India”) is a proud equal opportunity employer and is committed to hiring a diverse workforce and sustaining an inclusive culture. At McDonald’s in India, employment decisions are based on merit, job requirements, and business needs, and all qualified candidates are considered for employment. McDonald’s in India does not discriminate based on race, religion, colour, age, gender, marital status, nationality, ethnic origin, sexual orientation, political affiliation, veteran status, disability status, medical history, parental status, genetic information, or any other basis protected under state or local laws. Nothing in this job posting or description should be construed as an offer or guarantee of employment.