47 Director Record To Report Manufacturing Domain Big4 jobs in Pune

Job Description:
What's this role about?

This role is seeking a highly experienced and skilled Techno-Functional Analyst to play a key part in implementing and supporting SAP Master Data Governance (MDG) using ABAP programming language. You will bridge the gap between business processes and technical functionalities, ensuring data accuracy, consistency, and compliance within the organization's SAP system

Here's how you'll contribute:

You'll do this by:
Participate in the design, development, and implementation of MDG solutions using ABAP programming.
Configure and customize MDG workflows to automate master data governance processes.
Develop and maintain ABAP code for data validation, cleansing, and transformation within MDG.
Analyze business requirements and translate them into technical specifications for MDG functionalities.
Collaborate with business users and IT teams to ensure successful MDG adoption and usage.
Perform system testing and troubleshooting of MDG functionalities.
Stay up to date with the latest advancements in SAP MDG and ABAP technologies.
Document technical configurations and processes for future reference.
Core Skills:
8-15 years of experience in SAP techno-functional roles.
In-depth knowledge of SAP MDG concepts, functionalities, and configuration.
Expertise in ABAP programming language (ABAP/OO, Web Dynpro).
Strong understanding of data governance principles and best practices.
Excellent analytical and problem-solving skills.
Effective communication and collaboration skills.
Ability to work independently and as part of a team.
Desired Skills:
Strong Experience in MDG, Custom Data Model, UDI, FDA, Eudamed.
Experience with data modelling tools and techniques.

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.

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.

Job Summary:

The Material Master Analyst is responsible for managing and maintaining high-quality material master data within SAP HANA. This role ensures data accuracy, consistency, and compliance across supply chain, procurement, finance, and production functions. The analyst plays a key role in supporting operational efficiency, product lifecycle management, and strategic decision-making.

• Extension of new material codes in various depots with HSN Code, Shipping point, planned price, standard cost for various materials in depots/plant across India.
• Handling Master data maintenance for Material Master Data.
• Handling SAP MDO Tool used to create new Code VERP, ROH , HAWA
• codes for more Data quality
• Worked on Service now ticketing tool and MDO Tools and Workflow Testing for Materia Creation , extension and Change
• Material Master Change activity, Material Availability check in system, Material Stock Checking and stock transfer
• Material Transferred by MIGO.
• Training to end user about Material Activities like creation, change, Extension
• Providing production data to create maters data, BOM, Routing, and WorkCentre through BDC Report.
• Work as per the tasks and role assigned; has to understand business exigency and support business by working for extended hours.
• Preparation of various MDM MIS and DASHBOARD on daily/weekly basis.
• Adhere to the timeline as per defined SLA for respective activities.
• SAP ECC/HANA experience is must.

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.

Company Description

Metro Global Solution Center (MGSC) is internal solution partner for METRO, a € Billion international wholesaler with operations in 32 countries through 625 stores & a team of 91,000 people globally. Metro operates in a further 10 countries with its Food Service Distribution (FSD) business and it is thus active in a total of 34 countries.

MGSC, location wise is present in Pune (India), Düsseldorf (Germany) and Szczecin (Poland). We provide HR, Finance, IT & Business operations support to 31 countries, speak 24+ languages and process over 18,000 transactions a day. We are setting tomorrow’s standards for customer focus, digital solutions, and sustainable business models. For over 10 years, we have been providing services and solutions from our two locations in Pune and Szczecin. This has allowed us to gain extensive experience in how we can best serve our internal customers with high quality and passion. We believe that we can add value, drive efficiency, and satisfy our customers.

Website: 
Company Size: 600-650
Headquarters: Pune, Maharashtra, India
Type: Privately Held
Inception: 2011

Job Description

Qualifications

Additional Information

Behavioral Competencies

Title: Data Architect – Enterprise Data Management

Experience: 12+ years

Location: Delhi NCR, Bangalore, Pune (Hybrid)

Job Summary: We are seeking a seasoned Data Architect with 12+ years of experience in designing scalable, metadata-driven data architectures. This individual will lead initiatives spanning enterprise metadata management, federated query design, real-time data integration, and semantic layer modelling. The ideal candidate will be hands-on, able to translate complex requirements into robust solutions, and collaborate closely with business, technology, and governance stakeholders. Strong communication and documentation skills are essential, as this role operates at the intersection of data strategy, engineering, and enterprise governance.

Must Have Skills:

12+ years of experience in data architecture and engineering, with deep expertise in metadata-driven, federated, and real-time data environments

Core Competencies

• Enterprise Metadata Management: Design and implementation of automated data discovery, cataloguing, and lineage tracking across heterogeneous data platforms
• Federated Query Architecture: Building unified data access layers that abstract complexity across multiple data sources and query engines
• Real-time Data Integration: Event-driven architectures for continuous metadata synchronization and schema evolution management
• Data Governance Frameworks: Establishing automated data quality, privacy compliance, and access control patterns at enterprise scale
• Semantic Layer Design: Creating business-friendly data models that bridge technical schemas with analytical requirements

Technical Proficiencies

• Programming: Python (data engineering libraries), SQL (advanced optimization), Scala/Java
• Data Modelling: Dimensional modelling, graph databases, semantic web technologies
• Search & Discovery: Full-text search engines, vector similarity search, ML-based data classification
• API Architecture: REST, GraphQL, and gRPC for data service exposure
• Streaming Platforms: Message queuing and event streaming architectures
• Track record of effective collaboration with Data Engineers, Governance Leads, BI/Analytics Developers, ML Engineers, and Product Owners on complex data initiatives
• Demonstrated ability to produce data architecture diagrams, lineage flows, and maintain high-quality documentation standards
• Excellent written and verbal communication skills, with the ability to interact with executive sponsors, technology teams, and governance stakeholders
• Self-driven, hands-on architect with a lead-by-doing mindset for solution validation, issue resolution, and cross-team enablement

Nice to Have Skills:

• Implementation experience with enterprise knowledge graphs
• Understanding of data mesh and data fabric architectural approaches
• Experience with MLOps environments and integration of feature stores
• Execution of multi-cloud data strategies (e.g., AWS, Azure, GCP)
• Exposure to vector search, ML-based classification, and automated data discovery
• Familiarity with full-text search engines and search-driven metadata environments

Role & Responsibilities:

• Architect, implement, and evolve the enterprise metadata and data architecture to enable discovery, quality, and governance at scale
• Lead the design of a federated query layer that abstracts data access across distributed platforms and technologies
• Define and implement semantic layers for business-friendly data modeling and reporting enablement
• Develop and enforce data governance rules via architectural automation and controls
• Collaborate across functions with Data Engineers, Analytics Teams, Governance Stakeholders, UI/UX Designers, and ML Engineering teams to ensure architectural alignment and delivery
• Enable real-time metadata synchronization, schema tracking, and classification pipelines
• Create and maintain data architecture documentation, lineage maps, and solution artifacts
• Support strategic initiatives involving data mesh, knowledge graph, MLOps, and cloud-native data ecosystems
• Drive solutioning, reviews, and standards as a technical advisor and hands-on architect
• Communicate architectural vision, design decisions, and roadmap updates with executives, product owners, and technical teams

Key Skills: Metadata management, Data architecture, Semantic modeling, Federated queries, Real-time integration, Data governance, Python, SQL, Scala, Graph modeling, GraphQL, Kafka, API design, Data mesh, Knowledge graph

Title: Data Architect – Enterprise Data Management

Experience: 12+ years

Location: Delhi NCR, Bangalore, Pune (Hybrid)

Job Summary: We are seeking a seasoned Data Architect with 12+ years of experience in designing scalable, metadata-driven data architectures. This individual will lead initiatives spanning enterprise metadata management, federated query design, real-time data integration, and semantic layer modelling. The ideal candidate will be hands-on, able to translate complex requirements into robust solutions, and collaborate closely with business, technology, and governance stakeholders. Strong communication and documentation skills are essential, as this role operates at the intersection of data strategy, engineering, and enterprise governance.

Must Have Skills:

12+ years of experience in data architecture and engineering, with deep expertise in metadata-driven, federated, and real-time data environments

Core Competencies

• Enterprise Metadata Management: Design and implementation of automated data discovery, cataloguing, and lineage tracking across heterogeneous data platforms
• Federated Query Architecture: Building unified data access layers that abstract complexity across multiple data sources and query engines
• Real-time Data Integration: Event-driven architectures for continuous metadata synchronization and schema evolution management
• Data Governance Frameworks: Establishing automated data quality, privacy compliance, and access control patterns at enterprise scale
• Semantic Layer Design: Creating business-friendly data models that bridge technical schemas with analytical requirements

Technical Proficiencies

• Programming: Python (data engineering libraries), SQL (advanced optimization), Scala/Java
• Data Modelling: Dimensional modelling, graph databases, semantic web technologies
• Search & Discovery: Full-text search engines, vector similarity search, ML-based data classification
• API Architecture: REST, GraphQL, and gRPC for data service exposure
• Streaming Platforms: Message queuing and event streaming architectures
• Track record of effective collaboration with Data Engineers, Governance Leads, BI/Analytics Developers, ML Engineers, and Product Owners on complex data initiatives
• Demonstrated ability to produce data architecture diagrams, lineage flows, and maintain high-quality documentation standards
• Excellent written and verbal communication skills, with the ability to interact with executive sponsors, technology teams, and governance stakeholders
• Self-driven, hands-on architect with a lead-by-doing mindset for solution validation, issue resolution, and cross-team enablement

Nice to Have Skills:

• Implementation experience with enterprise knowledge graphs
• Understanding of data mesh and data fabric architectural approaches
• Experience with MLOps environments and integration of feature stores
• Execution of multi-cloud data strategies (e.g., AWS, Azure, GCP)
• Exposure to vector search, ML-based classification, and automated data discovery
• Familiarity with full-text search engines and search-driven metadata environments

Role & Responsibilities:

• Architect, implement, and evolve the enterprise metadata and data architecture to enable discovery, quality, and governance at scale
• Lead the design of a federated query layer that abstracts data access across distributed platforms and technologies
• Define and implement semantic layers for business-friendly data modeling and reporting enablement
• Develop and enforce data governance rules via architectural automation and controls
• Collaborate across functions with Data Engineers, Analytics Teams, Governance Stakeholders, UI/UX Designers, and ML Engineering teams to ensure architectural alignment and delivery
• Enable real-time metadata synchronization, schema tracking, and classification pipelines
• Create and maintain data architecture documentation, lineage maps, and solution artifacts
• Support strategic initiatives involving data mesh, knowledge graph, MLOps, and cloud-native data ecosystems
• Drive solutioning, reviews, and standards as a technical advisor and hands-on architect
• Communicate architectural vision, design decisions, and roadmap updates with executives, product owners, and technical teams

Key Skills: Metadata management, Data architecture, Semantic modeling, Federated queries, Real-time integration, Data governance, Python, SQL, Scala, Graph modeling, GraphQL, Kafka, API design, Data mesh, Knowledge graph