17 Data Management jobs in Coimbatore

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.

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: Vadodara, Gujarat, India 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.

Job Responsibilities:

• Designing MDM solutions that address the organization's data quality requirements and align with its business objectives. This includes defining data models and metadata structures.
• Data Quality Framework: Develop and implement data quality frameworks, standards, and best practices tailored to organization's needs. Define data quality metrics and thresholds to measure and monitor data quality levels over time.
• Data Cleansing and Remediation: Design and implement sustainable data cleansing processes to address data quality issues, such as duplicates, inconsistencies, and inaccuracies.
• Establishing metadata repositories and frameworks to capture and manage metadata related to master data entities, attributes, and relationships. Ensuring metadata integrity and alignment with data quality standards.
• Lead the interface discussions pertaining to master data with different applications

Job Requirements:

• Strong understanding of MDM concepts, principles, and best practices.
• Over 8 years experience as an MDM technical lead or similar role, with a focus on data quality management
• Strong knowledge of data quality frameworks, best practices, tools and techniques
• Metadata and Reference Data Management
• Experience with the Fusion Oracle cloud platform is an added advantage.
• Excellent analytical, problem-solving, and communication skills.
• Ability to work effectively in cross-functional teams and manage multiple priorities in a dynamic environment.
• Available to work during 11:30 AM IST – 8.30 PM IST.

Job Responsibilities:

• Designing MDM solutions that address the organization's data quality requirements and align with its business objectives. This includes defining data models and metadata structures.
• Data Quality Framework: Develop and implement data quality frameworks, standards, and best practices tailored to organization's needs. Define data quality metrics and thresholds to measure and monitor data quality levels over time.
• Data Cleansing and Remediation: Design and implement sustainable data cleansing processes to address data quality issues, such as duplicates, inconsistencies, and inaccuracies.
• Establishing metadata repositories and frameworks to capture and manage metadata related to master data entities, attributes, and relationships. Ensuring metadata integrity and alignment with data quality standards.
• Lead the interface discussions pertaining to master data with different applications

Job Requirements:

• Strong understanding of MDM concepts, principles, and best practices.
• Over 8 years experience as an MDM technical lead or similar role, with a focus on data quality management
• Strong knowledge of data quality frameworks, best practices, tools and techniques
• Metadata and Reference Data Management
• Experience with the Fusion Oracle cloud platform is an added advantage.
• Excellent analytical, problem-solving, and communication skills.
• Ability to work effectively in cross-functional teams and manage multiple priorities in a dynamic environment.
• Available to work during 11:30 AM IST – 8.30 PM IST.

We Are hiring for below role

Work Location: Anywhere in India

Job Title: AI Data Architect (Talent Management Focus)

In a global enterprise, leaders are racing to transform digitally while demand surges for AI-powered solutions. Yet, their workforce remains divided—some workstreams handled by all-human project teams, others cobbled together with gig workers or siloed AI tools. Launching a major client project means weeks of assembling resources, error-prone onboarding, and a constant struggle for oversight.

Our client is dedicated to empowering enterprises to thrive in the age of AI. They bring common sense AI approach along with innovative technology to transform your AI aspirations into tangible outcomes

With its AI-First Talent Platform, these silos vanish. Hiring managers use the platform to spin up a high stake “pod,” instantly combining internal experts, vetted gig analysts, and capable AI agents. Automated skill-matching ensures the right mix for the job, while governance tools keep every action visible and auditable. Managers see real-time status and can re-route work at the click of a button if anything stalls. Experts are guided through upskilling as they partner with AI teammates and have clarity on opportunities.

At our client, they are driving innovation with a Commonsense AI approach — making AI practical, ethical, and results-focused for every business.

Role Overview

We are seeking a highly experienced and visionary AI Data Architect with a strong background in talent management and Human Resources (HR) to design, develop, and implement robust data architectures that support our artificial intelligence and machine learning initiatives. This role will be critical in transforming our platform’s data landscape, enabling advanced analytics, predictive modeling, and AI-driven solutions to optimize talent acquisition, development, retention, and overall workforce effectiveness.

Responsibilities

• Design, develop, and maintain scalable, secure, and efficient data architectures for AI/ML applications, specifically tailored for talent management data.
• Collaborate with business leaders, data scientists, and engineering teams to understand data requirements and translate them into technical specifications and data models.
• Establish data governance policies, standards, and best practices ensuring data quality, privacy, security, and compliance with relevant regulations (e.g., GDPR, CCPA).
• Develop and implement data pipelines for ingesting, transforming, and loading diverse candidate data from various sources (e.g., HRIS, ATS, performance management systems, engagement surveys)
• Optimize data storage solutions (e.g., lake-house. data lakes, data warehouses) for performance, cost-efficiency, and accessibility by AI/ML models
• Lead the selection and integration of new data technologies and tools that enhance our AI capabilities within the talent management domain.
• Provide technical leadership and mentorship to data engineers and other team members on data architecture principles and AI best practices
• Stay abreast of emerging trends and technologies in AI, data architecture, and talent management, recommending innovative solutions to drive business value.

Qualifications Required:

• Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, or a related quantitative field.
• 6+ years of experience in data architecture, with at least 3-5 years focused on AI/ML data solutions.
• Proven experience working with talent management, candidate data, understanding the unique challenges and opportunities within this domain.
• Deep expertise in designing and implementing lake houses, data lakes, data warehouses, and data marts using cloud platforms (e.g., AWS, Azure, GCP).
• Strong proficiency in database technologies (SQL, NoSQL) and data modeling techniques.
• Extensive experience with ETL/ELT processes and data pipeline orchestration tools.
• Solid understanding of machine learning concepts, algorithms, and their data requirements.
• Excellent communication, collaboration, and stakeholder management skills.

Preferred:

• Experience with specific Talent/HR technology platforms (e.g., Workday, SuccessFactors, Oracle HCM, LinkedIn, Dice, Monster etc.).
• Familiarity with HR analytics, workforce planning, and talent acquisition metrics.
• Knowledge of data visualization tools (e.g., Tableau, Power BI, Looker).
• Certifications in cloud data architecture (e.g., GCP, AWS Certified Data Analytics, Azure Data Engineer Associate).

• Assist in collecting and organizing data from various sources.
• Perform data cleaning and validation to ensure accuracy.
• Conduct basic statistical analysis of data sets.
• Support the creation of reports and visualizations.
• Collaborate with senior analysts on data projects.
• Learn and apply new data analysis techniques.
• Maintain data integrity and confidentiality.
• Contribute to improving data collection processes.

• Recent graduate with a Bachelor's or Master's degree in a quantitative field.
• Strong analytical and problem-solving skills.
• Proficiency in Microsoft Excel.
• Knowledge of data analysis tools (Python, R, SQL) is a plus.
• Excellent attention to detail and organizational skills.
• Eagerness to learn and develop data analysis capabilities.

• Develop and implement remote sensing strategies for crop monitoring, health assessment, and yield prediction.
• Acquire, process, and analyze satellite, aerial, and drone imagery using GIS and remote sensing software (e.g., ArcGIS, QGIS, ERDAS Imagine).
• Develop and apply algorithms for deriving vegetation indices, soil moisture content, and other agricultural parameters from imagery.
• Integrate remote sensing data with other data sources, such as weather data, soil data, and farm management records.
• Utilize statistical methods and machine learning techniques to analyze large agricultural datasets and identify trends and patterns.
• Create maps, reports, and visualizations that communicate complex data effectively to farmers, researchers, and management.
• Provide expert advice on precision agriculture techniques based on data analysis and remote sensing insights.
• Stay current with advancements in remote sensing technologies, GIS, AI, and their applications in agriculture.
• Collaborate with research institutions, technology providers, and internal teams to advance agricultural analytics.
• Troubleshoot data quality issues and ensure the accuracy and reliability of analytical outputs.

• Master's or Ph.D. in Agronomy, Soil Science, Agricultural Engineering, Geography, or a related field with a specialization in remote sensing or geospatial analysis.
• Minimum of 6 years of experience in agronomy, with a strong focus on applying remote sensing and data analysis techniques in agriculture.
• Proficiency in GIS software (ArcGIS, QGIS) and remote sensing software (ERDAS Imagine, ENVI, Google Earth Engine).
• Experience with data analysis tools and programming languages such as Python, R, or MATLAB.
• Knowledge of agricultural practices, crop physiology, and soil science.
• Familiarity with drone technology and associated data processing workflows.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills, with the ability to explain technical concepts to diverse audiences.
• Ability to work independently and manage projects effectively in a remote setting.
• Proven track record of contributing to agricultural innovation through data-driven insights.

Postdoctoral Position in AI-Driven Intelligent Energy Management in Data-Enabled Smart Grids: Fault Diagnosis, Cyber Resilience, and Bidirectional EV Integration with WPT(V2G/G2V) @ Coimbatore

Applications are invited from qualified candidates for the post of Postdoctoral Position in AI-Driven Intelligent Energy Management in Data-Enabled Smart Grids: Fault Diagnosis, Cyber Resilience, and Bidirectional EV Integration with WPT(V2G/G2V)  at Amrita Vishwa Vidyapeetham Coimbatore Campus.