39 Data Enrichment Jobs

Job Title: EAM Consultant Location: Hyderabad Experience: 4-6 Years We are looking for experienced EAM Consultants (4 - 6 years) to join our team immediately in Hyderabad. who is having strong background in CMMS, Reliability, and Maintenance . Job Description: Check hard copy and electronic versions of P&IDs. Verify P&ID revision control, compare symbols and legends, validate asset tagging and equipment IDs, confirm pipeline and flow direction. Cross-check with field assets (optional), report discrepancies, and request updates. Basic understanding of the type and purpose of primary equipment by discipline (ELE, INST, MECH). Lead missing asset identification and record corrections for all assets under the scope of the project. Confirm and validate the Master Equipment List (MEL), Asset Tag Registers, and SCE Lists from P&IDs, PFDs, and single-line drawings. Build the equipment technical hierarchy according to CMMS requirements. Prepare technical objects, structure, and organize master data related to assets, equipment, and maintenance processes. Data Cleansing, Data Enrichment, Cataloguing. Some of the technical objects include: Functional Location, Equipment (EQ), Bill of Materials (BOM), Work Centers (WC) , Maintenance Task List, Measuring Points & Counters. BOM (Bill of Materials): Manage maintenance spare parts ordering and prepare all related documents in coordination with the warehouse, purchasing, and maintenance end users. Establish machinery spare parts interchangeability records, classification, and standardization (rotating, static, piping, and fittings), starting with the recommended two-year spare parts dossier provided by the contractor during construction. Provide statistical reports on inventory transactions using CMMS (Computerized Material Management System). Spare Parts Data Package Review (SPDP): Analyze spare parts lists (SPILs), Bill of Materials (BOMs), and SPIR (Spare Parts Interchangeability Record) and vendor documentation. Verify part descriptions, material specifications, and manufacturer details. Ensure correct categorization and classification of spare parts (MRO, consumables, critical spares, etc.). Identify duplicate, obsolete, or missing spare parts data and recommend corrective actions. Required Knowledge: Familiarity with ISO 14224 (Asset & Maintenance Data Collection for Reliability). ISO 9001 (Quality Management System - QMS). ASTM standards or industry-specific maintenance guidelines.

Design, develop, and implement data solutions using Microsoft Fabric , including data pipelines, data warehouses, and data marts. Develop data pipelines, data transformations, and data workflows using Microsoft Fabric.

Manage and enrich Franchise customer data of 72 Cr to enable creation and generation of Pre-Approved offers, improve Approval rates by enriching data through verified sources and enable instant disbursals by continuously improving fill rates of verified information to help scale volumes in 3in1 App. Responsible for identifying data requirements and evaluating quality of data sourced through external vendors. This capability will help build scale on 3in1 App of the Company and targets to improve Market share of the Company by 10% from current levels at the same portfolio risk levels Data Quality - New Data Enrichment Management o Data Standardization Data Quality o Data Enrichment of Franchise base basis internal External Sources o Responsible for end-to-end Data Quality Data Enrichment, Validation Verification for variables o Prepare BRD and User Story for development of Internal Data Storage design that enables to maintain every data point received with tagging of Source, time, Verified / Non-Verified data and Confidence level of the same. o Define validation rules and confidence levels for any variable brought into the single repository. o Define logic for flagging of Confidence levels for the data fields to enable end users of the data to use the data as per their confidence flagging. o Data verifications as per Confidence Flagging and insert into enrichment Mart o Governance of New Data element or New Data Source o Responsible for ensuring error rates in Data Quality are maintained within threshold levels o Define SOP and scope of activities for Data Quality management through Manual intervention to be executed through outsourced Credit Ops shop in Bareily o Control checks on data quality management done through Bareily shop o Define validation rules for data fields to ensure that junk data does not enter the repository o Responsible to ensure that the data tables have no data quality issues o Ensure all Existing Prospect records are maintained in a single repository o All other data points related to these records and any data enrichment to be maintained in a single repository o Data Enrichment o Engage with Partnership team in validating the information is meeting the quality standards that have been defined o Will qualify whether data points from a Particular Partner or Source can be used for Enrichment o Will also identify and maintain list of sources, websites which are to be used for Data Enrichment Key Decisions / Dimensions Following decisions are taken by the role: Design of data storage table Addition of new data sources Data quality validations Major Challenges Working with extremely large data sets Co-ordination with multiple stakeholders Clean up of existing data in BAU as we'll as create the new framework of data storage Required Qualifications and Experience a) Qualifications Post-graduation/ MBA with 3+ years experience in retail lending Risk b) Work Experience Minimum 2+ years of experience in SQL/ADB/Python/PySpark/EDW management Experience with large data handling and quantitative analysis Exposure to data analytics tools (Eg. SAS, SQL and Decision Tree) automated BI reports Strong Problem-solving ability and analytical skills

About the role As a Marketing Data Specialist , you will work alongside the Marketing Data Lead in managing and optimizing lead and contact creation and management processes with a focus on data quality, enrichment, standardization, and supporting ongoing data-related initiatives. What you’ll do Assist with data enrichment, acquisition, standardization, and segmentation efforts Aid in the management of lead and contact creation and routing workflows, ensuring data flows smoothly to and from CRM (Salesforce) and other systems using tools like LeanData , RingLead , Demandbase Data Integrity, SFDC Data Loader, Cloudingo , and more Ensure lead creation and conversion processes across Sales and Marketing are optimized and adhere to internal and external data health and compliance requirements Support Marketing Data Lead in implementing data governance policies and practices Oversee intake, perform related actions, and ensure positive outcomes of lead generation program s with goal to automate process where appropriate Collaborate with marketing , sales , and customer success teams to support data-driven initiatives and reporting What you’ll bring 5 + years of experience in data management, marketing operations, sales operations , or customer success operations Familiarity with CRM systems (e.g., Salesforce) and data management tools like LeanData , RingLead , Demandbase Data Integrity, SFDC Data Loader, Cloudingo , and more Has a high level of autonomy in day-to-day operations Strong attention to detail with an understanding of global data governance principles and best practices Ability to work independently and collaboratively with a global team Analytical mindset adept at problem finding and problem solving Able to work flexible hours as required by business priorities Stay up to date on everything Blackbaud, follow us on Linkedin, X, Instagram, Facebook and YouTube Blackbaud is a digital-first company which embraces a flexible remote or hybrid work culture. Blackbaud supports hiring and career development for all roles from the location you are in today! Blackbaud is proud to be an equal opportunity employer and is committed to maintaining an inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, physical or mental disability, age, or veteran status or any other basis protected by federal, state, or local law.

Job Title: Specialist, Audience Operations - Level P2 Location: Chennai, India About the Role: We re seeking a highly detail-oriented and technically skilled Audience Operations Specialist to support audience strategy, segmentation, and execution across our marketing technology stack. This role plays a critical part in ensuring the right message reaches the right audience at the right time driving personalization, efficiency, and impact across campaigns. You will collaborate closely with Marketing Operations, Campaigns, Analytics, and CRM teams to deliver clean, precise audience lists and segmentation logic for cross-channel marketing efforts. Key Responsibilities: Key Responsibilities: Build and manage audience segments for global campaigns across marketing automation and CRM platforms (e.g., Marketo, Salesforce, HubSpot). Interpret campaign briefs and translate them into accurate audience logic, using filters, exclusions, and prioritization rules. Own end-to-end audience delivery from list sourcing to QA to deployment readiness. Partner with marketing automation and CRM teams to manage contact data hygiene, lead lifecycle stages, and segmentation capabilities. Collaborate with analytics and data engineering teams to implement data enrichment and audience scoring strategies. Work closely with campaign managers, analytics, and sales ops to refine targeting strategies. Act as a technical advisor for audience capabilities in platform evaluations, migrations, or transformation initiatives. Requirements: 3-5 years in marketing operations, audience segmentation, or marketing technology roles. Hands-on experience with MAPs (e.g., Marketo, Eloqua, Pardot), CRM (Salesforce), or CDPs (e.g., Segment, Adobe RT-CDP). Strong logic-building skills with filters, exclusions, field criteria, and campaign triggers. Solid understanding of marketing data structure (lead/contact objects, campaign membership, activity logs). Intermediate SQL or experience working with structured datasets and queries. Familiarity with campaign orchestration tools; Experience with privacy-compliant data handling and opt-in/opt-out logic. About Trimble : Trimble is a leading provider of advanced positioning solutions that maximize productivity and enhance profitability for our customers. We are an exciting, entrepreneurial company, with a history of exceptional growth coupled with a disciplined and strategic focus on being the best. While GPS is at our core, we have grown beyond this technology to embrace other sophisticated positioning technologies and, in doing so, we are changing the way the world works. Those who successfully lead others to meet our objectives are vital to our organization. Leadership at Trimble is much more than simply exercising assigned authority; we expect our leaders to embrace a mission-focused leadership style, demonstrating the strength of character, intellect and the ability to convert ideas to reality. www.trimble.com

Job Title: Specialist, Audience Operations - Level P3 Location: Chennai, India About the Role: We re seeking a highly detail-oriented and technically skilled Audience Operations Specialist to support audience strategy, segmentation, and execution across our marketing technology stack. This role plays a critical part in ensuring the right message reaches the right audience at the right time driving personalization, efficiency, and impact across campaigns. You will collaborate closely with Marketing Operations, Campaigns, Analytics, and CRM teams to deliver clean, precise audience lists and segmentation logic for cross-channel marketing efforts. Key Responsibilities: Build and manage audience segments for global campaigns across marketing automation and CRM platforms (e.g., Marketo, Salesforce, HubSpot). Interpret campaign briefs and translate them into accurate audience logic, using filters, exclusions, and prioritization rules. Own end-to-end audience delivery from list sourcing to QA to deployment readiness. Partner with marketing automation and CRM teams to manage contact data hygiene, lead lifecycle stages, and segmentation capabilities. Collaborate with analytics and data engineering teams to implement data enrichment and audience scoring strategies. Work closely with campaign managers, analytics, and sales ops to refine targeting strategies. Act as a technical advisor for audience capabilities in platform evaluations, migrations, or transformation initiatives. Requirements: 5-7 years in marketing operations, audience segmentation, or marketing technology roles. Hands-on experience with MAPs (e.g., Marketo, Eloqua, Pardot), CRM (Salesforce), or CDPs (e.g., Segment, Adobe RT-CDP). Strong logic-building skills with filters, exclusions, field criteria, and campaign triggers. Solid understanding of marketing data structure (lead/contact objects, campaign membership, activity logs). Intermediate SQL or experience working with structured datasets and queries. Familiarity with campaign orchestration tools; Experience with privacy-compliant data handling and opt-in/opt-out logic. About Trimble : Trimble is a leading provider of advanced positioning solutions that maximize productivity and enhance profitability for our customers. We are an exciting, entrepreneurial company, with a history of exceptional growth coupled with a disciplined and strategic focus on being the best. While GPS is at our core, we have grown beyond this technology to embrace other sophisticated positioning technologies and, in doing so, we are changing the way the world works. Those who successfully lead others to meet our objectives are vital to our organization. Leadership at Trimble is much more than simply exercising assigned authority; we expect our leaders to embrace a mission-focused leadership style, demonstrating the strength of character, intellect and the ability to convert ideas to reality. www.trimble.com

Job Title: Specialist, Audience Operations - Level P3 Location: Chennai, India About the Role: We re seeking a highly detail-oriented and technically skilled Audience Operations Specialist to support audience strategy, segmentation, and execution across our marketing technology stack. This role plays a critical part in ensuring the right message reaches the right audience at the right time driving personalization, efficiency, and impact across campaigns. You will collaborate closely with Marketing Operations, Campaigns, Analytics, and CRM teams to deliver clean, precise audience lists and segmentation logic for cross-channel marketing efforts. Key Responsibilities: Build and manage audience segments for global campaigns across marketing automation and CRM platforms (e.g., Marketo, Salesforce, HubSpot). Interpret campaign briefs and translate them into accurate audience logic, using filters, exclusions, and prioritization rules. Own end-to-end audience delivery from list sourcing to QA to deployment readiness. Partner with marketing automation and CRM teams to manage contact data hygiene, lead lifecycle stages, and segmentation capabilities. Collaborate with analytics and data engineering teams to implement data enrichment and audience scoring strategies. Work closely with campaign managers, analytics, and sales ops to refine targeting strategies. Act as a technical advisor for audience capabilities in platform evaluations, migrations, or transformation initiatives. Requirements: 5-7 years in marketing operations, audience segmentation, or marketing technology roles. Hands-on experience with MAPs (e.g., Marketo, Eloqua, Pardot), CRM (Salesforce), or CDPs (e.g., Segment, Adobe RT-CDP). Strong logic-building skills with filters, exclusions, field criteria, and campaign triggers. Solid understanding of marketing data structure (lead/contact objects, campaign membership, activity logs). Intermediate SQL or experience working with structured datasets and queries. Familiarity with campaign orchestration tools; Experience with privacy-compliant data handling and opt-in/opt-out logic.

Job Title: Specialist, Audience Operations - Level P2 Location: Chennai, India About the Role: We re seeking a highly detail-oriented and technically skilled Audience Operations Specialist to support audience strategy, segmentation, and execution across our marketing technology stack. This role plays a critical part in ensuring the right message reaches the right audience at the right time driving personalization, efficiency, and impact across campaigns. You will collaborate closely with Marketing Operations, Campaigns, Analytics, and CRM teams to deliver clean, precise audience lists and segmentation logic for cross-channel marketing efforts. Key Responsibilities: Build and manage audience segments for global campaigns across marketing automation and CRM platforms (e.g., Marketo, Salesforce, HubSpot). Interpret campaign briefs and translate them into accurate audience logic, using filters, exclusions, and prioritization rules. Own end-to-end audience delivery from list sourcing to QA to deployment readiness. Partner with marketing automation and CRM teams to manage contact data hygiene, lead lifecycle stages, and segmentation capabilities. Collaborate with analytics and data engineering teams to implement data enrichment and audience scoring strategies. Work closely with campaign managers, analytics, and sales ops to refine targeting strategies. Act as a technical advisor for audience capabilities in platform evaluations, migrations, or transformation initiatives. Requirements: 3-5 years in marketing operations, audience segmentation, or marketing technology roles. Hands-on experience with MAPs (e.g., Marketo, Eloqua, Pardot), CRM (Salesforce), or CDPs (e.g., Segment, Adobe RT-CDP). Strong logic-building skills with filters, exclusions, field criteria, and campaign triggers. Solid understanding of marketing data structure (lead/contact objects, campaign membership, activity logs). Intermediate SQL or experience working with structured datasets and queries. Familiarity with campaign orchestration tools; Experience with privacy-compliant data handling and opt-in/opt-out logic.

The innovative and effective deployment of data and analytics is key to the success of companies today. AkzoNobel is no exception as we seek to embed the improved understanding of data across the company. Identifying and implementing opportunities to optimize the use of data within our R&D, Manufacturing, Integrated Supply Chain, Marketing and Sales, Finance, HR and Sourcing Functions have been services delivered from our MDM Global Organisation over the last few years. We need additional support in these areas with a strong focus on Commercial and Sales (Customer master and Pricing data). For these reasons, GBS Master Data Services requires a Data Domain Expert to support our Commercial function Role & responsibilities Responsible for (or support) the activities done by the CoE for the Commercial & Sales domain in alignment the MDM Roadmap Drives standardized Commercial End to End Processes and Tools around MDM to Improve Quality of Delivery, Optimize Cost to Serve, Control & Compliance, and Enhancing Customer Experience Support the MDS CoE Team Lead to build an MDM roadmap for the Commercial & Sales domain Support the scope and activities of projects and processes and ensures execution Responsible for (or support) implementing proper preventive/detective controls for the CRUD activities of MDS Operations for Commercial & Sales Manage escalation process of Commercial & Sales issues or support the resolution of issues raised by business to the CoE Act as a change agent and communicator for MDS, enabling continuous commitment for and awareness of MDM IM touchpoint, driving master data standardization, organizational and system alignment for the Commercial & Sales domain Continued focus on Commercial & Sales innovation and standardization to drive down total cost-to-serve and enhance customer satisfaction through improved quality of processes Foster communication and teamwork within, and across, organizational boundaries Ability to analyze, design and implement the need for MDM in high complexity landscapes, both from system perspective and organizational perspective for Commercial & Sales. Ability to utilize metrics to identify opportunities for service improvement Excellent analytical and problem-solving skills Preferred candidate profile Post-graduation in Business Administration, Accounting, Finance, Economics, IT or equivalent work experience Minimum 8 overall experience with 5 experience in MDM related function, supporting our Commercial functions Strong working knowledge of SAP and SAP MDG experience preferred Strong domain knowledge of customer master and pricing data. Good data profiling and analytical skills. CRM Experience a plus Commercial Services, Sales, Customer Relations or equivalent background a plus Experience in Master Data Governance; development and implementation of best MDM governance practices. Ability to deliver quality work within strict deadlines while managing multiple priorities and acting with a sense of urgency. Very good communication skills must be able to discuss the requirements effectively with stakeholders, the external teams, and with internal teams. Continuous Improvement focused, relevant CI certification a bonus Experience in Project Management, with supporting certification preferred

Cleansing and Standardization of MRO materials (Mechanical, Electrical, Instrumentation, Electronic materials) Data Enrichment from various sources (Web Enrichment, Document Enrichment etc.) Knowledge about Taxonomy/Data Dictionary + creation Required Candidate profile Assigning UNSPSC/e-Class codes for cleansing and enriched materials Managing the data cleansing work which includes (delegation of work to the DQC’s, monitoring, issue handling, final submissions)

ColumbiaSportswearCompany is looking for Sr Master Data Mgmt Analyst to join our dynamic team and embark on a rewarding career journey. Managing master data, including creation, updates, and deletion. Managing users and user roles. Provide quality assurance of imported data, working with quality assurance analysts if necessary. Commissioning and decommissioning of data sets. Processing confidential data and information according to guidelines. Helping develop reports and analysis. Managing and designing the reporting environment, including data sources, security, and metadata. Supporting the data warehouse in identifying and revising reporting requirements. Supporting initiatives for data integrity and normalization. Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems. Generating reports from single or multiple systems. Troubleshooting the reporting database environment and reports. Evaluating changes and updates to source production systems. Training end-users on new reports and dashboards. Providing technical expertise in data storage structures, data mining, and data cleansing.

2-4 years of experience in designing, developing, and training machine learning models using diverse algorithms and techniques, including deep learning, NLP, computer vision, and time series analysis. Proven ability to optimize model performance through experimentation with architectures, hyperparameter tuning, and evaluation metrics. Hands-on experience in processing large datasets, including preprocessing, feature engineering, and data augmentation. Demonstrated ability to deploy trained AI/ML models to production using frameworks like Kubernetes and cloud-based ML platforms Solid understanding of monitoring and logging for performance tracking. Experience in exploring new AI/ML methodologies and documenting the development and deployment lifecycle, including performance metrics. Familiarity with AWS services, particularly SageMaker, is expected. Excellent communication, presentation, and interpersonal skills are essential. Good to have: Knowledge of GenAI (LangChain, Foundation model tuning, and GPT3) Amazon AWS Certified Machine Learning - Specialty certifications Explore different models and transform data science prototypes for given problem Analyze dataset perform data enrichment, feature engineering and model training Abale to write code using Python, Pandas and Dataframe APIs Develop machine learning applications according to requirements Perform statistical analysis and fine-tuning using test results Collaborate with data engineers & architects to implement and deploy scalable solutions. Encourage continuous innovation and out-of-the-box thinking. Experience applying theoretical models in an applied environment.

Qualifications: Bachelors degree in Business, Marketing, or related field. 5+ years of experience in data enrichment, sales research, or market research roles. 2+ years of experience managing a team, ideally in a SaaS or B2B environment. Strong understanding of sales development processes and CRM tools like Salesforce or HubSpot. Proficiency with research tools (LinkedIn Sales Navigator, ZoomInfo, Apollo.io, etc.). Excellent project management, leadership, and organizational skills. Strong analytical mindset and attention to detail. Ability to demonstrate grit and resilience. Preferred Skills: Prior experience with ABM tools like 6Sense or Demandbase Experience supporting sales development teams or ABM programs. Familiarity with sales enablement platforms and automation tools. Proven ability to drive process improvements and deliver measurable results.

Dear All, We are hiring for multiple Master Data Management (MDM) Consultants for multiple client projects across domains. Note : : Only one position requires SAP S/4HANA experience . Candidates without SAP experience are also encouraged to apply. Candidates with a notice period of 30 days or less will be prioritized. Those with longer notice periods may still be considered based on fit. Work Location & Mode: Role 1: Hybrid (Chennai based candidates preferred) Role 2: On-site at customer office (Chennai) Roles & Responsibilities: Support the migration of master data from multiple systems into a centralized ERP platform. Assist in data consolidation and standardization to maintain a single source of truth. Participate in data migration and integration activities. Create, maintain, and ensure the quality of Material, Customer, and Vendor Master Data. Perform data validation, cleansing, and quality checks to maintain high data integrity. Collaborate with cross-functional teams to gather and define business data requirements. Identify and resolve data quality issues and process inefficiencies. Conduct data analysis and prepare reports to support business decision-making. Support data governance policies and ensure compliance with data standards. Contribute to the development and enforcement of data management best practices. Soft Skills: Excellent communication and collaboration abilities. Strong analytical skills with attention to detail. Detail-oriented with a focus on accuracy and quality. Ability to manage multiple, changing priorities while working effectively in a team environment. Excellent problem-solving skills. Desired Candidate Profile: 1 to 6 years of experience in Master Data Management or related data-focused roles. Passion for working with data and driving data quality initiatives. Bachelors degree in any discipline (Engineering mandatory). Proficiency in Microsoft Excel; exposure to Power BI is an advantage. For SAP-specific roles: Experience with SAP MDM on SAP S/4HANA is preferred. Exposure to software like Java or Python or SQL is a plus. Familiarity with PLM tools like Teamcenter or Windchill is a plus. If you are passionate about data and excited to work on challenging data transformation projects, apply now and be part of a dynamic and growing team!

Work Type: Hybrid Job Type: Full Time Job Description: Experience in designing, developing, and implementing AI-powered conversational experiences within the Salesforce platform, using Agentforce capabilities to create automated customer interactions across various channels, often requiring strong technical skills in Salesforce development and natural language processing (NLP) to build effective virtual agents. Core Responsibilities: Architecting and building data integration solutions using Salesforce Data Cloud to unify customer data from diverse sources. Implementing data cleansing, matching, and enrichment processes to improve data quality. Designing and managing data pipelines for efficient data ingestion, transformation, and loading. Collaborating with cross-functional teams to understand business requirements and translate them into data solutions Monitoring data quality, identifying discrepancies, and taking corrective actions Establishing and enforcing data governance policies to maintain data consistency and compliance Minimum Skills Required: Technical Skills: Expertise in Salesforce Data Cloud features like data matching, data cleansing, data enrichment, and data quality rules Understanding of data modeling concepts and ability to design data models within Salesforce Data Cloud Proficiency in using Salesforce Data Cloud APIs and tools to integrate data from various sources Knowledge of data warehousing concepts and data pipeline development Relevant Experience: Implementing Salesforce Data Cloud for customer 360 initiatives, creating a unified customer view across channels Designing and developing data integration solutions to connect disparate data sources Managing data quality issues, identifying and resolving data inconsistencies Collaborating with business stakeholders to define data requirements and KPIs Agentforce Design and Development: Building and customizing Agentforce conversational flows, defining dialogue trees, and creating intent-based interactions to handle customer inquiries effectively. NLP Integration: Training and refining natural language processing models to ensure accurate understanding of customer queries and provide relevant responses. Data Analysis and Optimization: Monitoring Agentforce performance, analyzing customer interaction data to identify areas for improvement and refine bot responses. Salesforce Integration: Seamlessly integrating Agentforce with other Salesforce components like CRM data, sales pipelines, and customer support systems to provide a unified customer experience. Testing and Deployment: Thoroughly testing Agentforce interactions to ensure quality and functionality before deployment across various channels (webchat, SMS, etc.). Skills to highlight on your resume: Salesforce Platform: Expertise in Salesforce administration, development (Apex, Visualforce), and understanding of Salesforce architecture. Agentforce Specifics: Deep knowledge of Agentforce features, capabilities, and configuration options. NLP Techniques: Familiarity with natural language processing concepts like intent classification, entity extraction, and dialogue management. Conversational Design: Proven ability to design engaging and effective conversational flows for virtual agents. Data Analysis: Skills in analyzing customer interaction data to identify patterns and optimize Agentforce performance. Design, develop, and deploy solutions on Salesforce Data Cloud platform. Collaborate with stakeholders to gather requirements and translate them into technical specifications. Build custom applications, integrations, and data pipelines using Salesforce Data Cloud tools and technologies. Develop and optimize data models to support business processes and reporting needs. Implement data governance and security best practices to ensure data integrity and compliance. Perform troubleshooting, debugging, and performance tuning

*Architect and implement solutions that enable customers to get most out of what client can offer. *You will develop performant and robust Java applications while supplying continued evaluation and advancement of web technologies in the organization. Required Candidate profile Work on a high-velocity scrum team Architect & implement scalable end-to-end Web applications Help team lead to facilitate development processes Provide estimates & milestones for features/stories

Research and build contact lists, make outbound cold calls/emails to those who fit our Ideal Customer Profile (ICP), and will then partner with Account Manager to get customers onboarded. Roughly 70% of the time required to be spent on the phone or email prospecting for new clients Generate high-volume quality leads through various direct sales efforts such as calls, emails, events, webinars, and other channels generated by marketing initiatives. Make daily outbound calls/emails to target prospects. Follow up on all calls and emails until meetings are booked or you have been able to move the prospect through the funnel. Achieve or exceed monthly quotas of meetings, demos, and qualified leads worked with Account Manager Establish BANT by asking the right questions about the prospect's business, and their challenges, and helping them understand how BPAAS will help them solve those challenges Effectively build and execute a target achievement plan to maximize output. Should be able to individually drive the sales conversation for cross-selling and upselling in existing accounts Should be able to achieve sales quota for mapping new stakeholders in the existing account.

ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. ABOUT THE ROLE Role Description We are seeking an experienced MDM Senior Data Engineer with 6 – 9 years of experience and expertise in backend engineering to work closely with business on development and operations of our Master Data Management (MDM) platforms, with hands-on experience in Informatica or Reltio and data engineering experience . This role will also involve guiding junior data engineers /analysts , and quality experts to deliver high-performance, scalable, and governed MDM solutions that align with enterprise data strategy. To succeed in this role, the candidate must have strong Data Engineering experience along with MDM knowledge, hence the candidates having only MDM experience are not eligible for this role. Candidate must have data engineering experience on technologies like (SQL, Python, PySpark , Databricks, AWS, API Integrations etc ), along with knowledge of MDM (Master Data Management) Roles & Responsibilities Develop the MDM backend solutions and implement ETL and Data engineering pipelines using Databricks, AWS, Python/ PySpark , SQL etc Lead the implementation and optimization of MDM solutions using Informatica or Reltio platforms. Perform data profiling and identify the DQ rules need . Define and drive enterprise-wide MDM architecture, including IDQ, data stewardship, and metadata workflows. Manage cloud-based infrastructure using AWS and Databricks to ensure scalability and performance. Ensure data integrity, lineage, and traceability across MDM pipelines and solutions. Provide mentorship and technical leadership to junior team members and ensure project delivery timelines. Help custom UI team for integration with backend data using API or other integration methods for better user experience on data stewardship Basic Qualifications and Experience Master’s degree with 4 - 6 years of experience in Business, Engineering, IT or related field OR Bachelor’s degree with 6 - 9 years of experience in Business, Engineering, IT or related field OR Diploma with 1 0 - 12 years of experience in Business, Engineering, IT or related field Functional Skills: Must-Have Skills: Strong understanding and hands on experience of Databricks and AWS cloud services. Proficiency in Python, PySpark , SQL, and Unix for data processing and orchestration. Deep knowledge of MDM tools (Informatica, Reltio) and data quality frameworks (IDQ). Must have knowledge on customer master data (HCP, HCO etc ) Experience with data modeling, governance, and DCR lifecycle management. Able to implement end to end integrations including API based integrations, Batch integrations and Flat file-based integrations Strong experience with external data enrichments like D&B Strong experience on match/merge and survivorship rules implementations Very good understanding on reference data and its integration with MDM Hands on experience with custom workflows or building data pipelines /orchestrations Good-to-Have Skills: Experience with Tableau or PowerBI for reporting MDM insights. Exposure or knowledge of DataScience and GenAI capabilities. Exposure to Agile practices and tools (JIRA, Confluence). Prior experience in Pharma/Life Sciences. Understanding of compliance and regulatory considerations in master data. Professional Certifications Any MDM certification ( e.g. Informatica , Reltio etc ) Databricks Certifications (Data engineer or Architect) Any cloud certification (AWS or AZURE) Soft Skills: Strong analytical abilities to assess and improve master data processes and solutions. Excellent verbal and written communication skills, with the ability to convey complex data concepts clearly to technical and non-technical stakeholders. Effective problem-solving skills to address data-related issues and implement scalable solutions. Ability to work effectively with global, virtual teams EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Project Role : Business Agility Practitioner Project Role Description : Professionals who provide business agility and technology innovation advisory services focused on organizational transformation in order to aid clients in outlearning and outperforming the competition. Must have skills : Business Requirements Analysis Good to have skills : No Function Specialty Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Business Agility Practitioner, you will provide business agility and technology innovation advisory services to aid clients in outlearning and outperforming the competition. You will play a crucial role in organizational transformation and help clients achieve their business goals. Roles & Responsibilities: 5-8 years relevant work experience in delivering projects using the agile methodology for Risk (preferably Market Risk in Investment or Corporate Banking) and Finance projects especially around data sourcing Understanding data concepts and being able to perform data analysis. Proficient use of SQL and Python Ability to assimilate information quickly, make informed decisions, ability to use own initiative to resolve issues/ investigate and find solutions. Regular and confident interaction with end-users and customers having strong focus on delivering strategic solutions for the business. Expected to be an SME, collaborate and manage the team to perform. Responsible for team decisions. Engage with multiple teams and contribute on key decisions. Provide solutions to problems for their immediate team and across multiple teams. Lead and facilitate workshops to identify business requirements and translate them into actionable plans. Develop and implement strategies to improve business agility and drive innovation. Analyze and evaluate existing business processes to identify areas for improvement. Collaborate with stakeholders to gather and document business requirements. Identify and recommend solutions to address business challenges and achieve desired outcomes. Professional & Technical Skills: Must To Have Skills:Proficiency in Business Requirements Analysis. Strong understanding of business process modeling and analysis. Experience in conducting stakeholder interviews and workshops. Ability to translate business requirements into functional specifications. Good To Have Skills:Experience with Agile methodologies. Knowledge of business process automation tools. Familiarity with data analysis and visualization tools. Understanding of change management principles. Additional Information: The candidate should have a minimum of 5 years of experience in Business Requirements Analysis. This position is based at our Bengaluru office. A 15 years full time education is required. Qualifications 15 years full time education

Job Title:GN - SC&O - S&P Data Specialist Management Level:09 - Specialist | Location:Bangalore Must have skills:Data Science KEY RESPONSIBILITIES Data Specialist work closely with the Head of Data Services and Products teams on delivering project independently, leading data analysts to carry out defined pieces of data analysis and secondary market research. Typical work streams: Client/External Supplier Interaction Liaison with various clients/suppliers and establish long-term relationship. Set expectations with customer on deliverables, negotiate on requirements, and obtain signoffs on thefinal deliverable. Lead data extraction efforts and guide data analysts in obtaining and analyzing it. Project Management Manage data analysts to adhere to project deadlines. Align with all internal teams to ensure buy-in from all stakeholders on the critical process pieces. Have formal weekly status review meetings with the delivery team/ CSM's/ Management as well as thecustomer. Understand and resolve any internal or external issues with the processed data or product effectivelyand efficiently. Data Management Guide data analysts and drive end to end data handling from collection to deliverable publish. Ensure that the process is fully documented and auditable. Solve day-to-day process problems as well as logical issues identify innovative approaches andsolutions. Work Experience: 5+ years of project management experience on Spend Analysis/ Procurement domain experience.Academic Qualifications:Masters or Bachelors in Engineering, Mathematics, Computer Science, Business orEconomics Skills Required: Strong leadership and team management skills Excellent analytical and research capabilities comfort and proficiency in handling large data analysisand secondary market research Good spoken and written (English) communication skills should be able to participate in global teamcalls. Excellent MS Excel skills ability to guide others in handling and structuring analysis. Excellent attention to details, high output accuracy and out-of-box thinking to bring in innovativeapproaches to problems/issues in data processing.Additional Skills/Experience Desired: Background in Data Management (knowledge of analytical tools like SAS, Alteryx, Qlik sense anddatabase tools like MS Access, SQL/Oracle database) Knowledge of taxonomies like UNSPSC, NAICS, SIC, E-Class, HTS and other custom specific taxonomies Knowledge of E2E automation for the data classification/Vendor Normalization process through ETL,Scripts or KB Lookups Knowledge of the sourcing, contract management, vendor discovery assessment, vendor riskmanagement, invoice reconciliation & leakage detection, spend miner services, P2P process, etc..

Data Analysis & Insights, Retail Data Analytics, Data Processing, Statistical Modeling & Forecasting, Reporting. WhatsApp CV only text +91 8660770495 (no unsch calls pls) Email CV: cv@archangelhr.in, hr@archangelhr.in, hi@archangelhr.in Required Candidate profile B.Tech or equal, with hands-on industry experience in data analysis, R or Python

Automate incident response by designing, developing, and maintaining SOAR playbooks and workflows to streamline threat detection and mitigation Integrate security tools (SIEM, EDR, threat intel platforms) with the SOAR solution to enhance visibility and orchestration Collaborate with SOC and security engineering teams to identify manual processes for automation and to optimize operational workflows Develop custom scripts (Python, PowerShell, Bash, JavaScript) to support playbook logic, data enrichment, and API interactions

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Operations Job Details About Salesforce We re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good - you ve come to the right place. Job Description: We are seeking a highly motivated and detail-oriented Individual to join our team, focusing on Account Data Management & Enrichment. In this role, you will support the organizations data management initiatives to drive better decision-making and provide insights on key accounts and market opportunities. The ideal candidate will be skilled in data analysis, account profiling, and have experience working with various external data sources to enhance the companys understanding of industry-specific accounts. Key Responsibilities: Account Data management & Enrichment: Maintain, organize, and enrichment of account data at an industry/sub-industry level, ensuring that data is accurate and up to date. Net New Account Discovery: Leverage external data sources to identify new accounts and prospects that align with the company s target audience and growth objectives. Industry Focus: Concentrate on high-priority industries such as Market Research, Account Discovery, Deduplication, and Tiering to identify and prioritize top accounts. Account Profiling: Conduct in-depth profiling of key accounts, including analysing their technology stack, financial metrics, account footprint, and competition mapping to gain a holistic view of the account landscape. Ad-hoc Data Intelligence Support: Provide ad-hoc support for data-related intelligence requests, including custom reports and data insights to support Sales & Strategy Organisation Customer Lookalike Mapping: Use data to identify whitespace opportunities by mapping customer lookalikes, helping to understand where additional growth potential exists. Desired Skills: Proficient in using data analysis tools (Google sheet, Snowflake,Tableau, etc.), CRM platforms (Salesforce), and external data sources for account discovery. Experience with data enrichment tools or platforms. Analytical Skills: Strong ability to analyze and interpret large data sets to extract meaningful insights and provide actionable recommendations. Communication: Excellent verbal and written communication skills to present data insights and collaborate effectively across teams. Attention to Detail: High attention to detail to ensure data accuracy and quality in all aspects of work. - Degree or equivalent relevant experience required. Experience will be evaluated based on the core proficiencies or the role (e.g. extracurricular leadership roles, military experience, volunteer roles, work experience, etc.) Accommodations If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form . Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactlyIt means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. ABOUT THE ROLE Role Description We are seeking an experienced MDM Manager with 10–14 years of experience to lead strategic development and operations of our Master Data Management (MDM) platforms, with hands-on experience in Informatica or Reltio. This role will involve managing a team of data engineers, architects, and quality experts to deliver high-performance, scalable, and governed MDM solutions that align with enterprise data strategy. To succeed in this role, the candidate must have strong MDM experience along with Data Governance, DQ, Data Cataloging implementation knowledge, hence the candidates must have minimum 6-8 years of core MDM technical experience for this role (Along with total experience in the range of 10-14 years) . Roles & Responsibilities Lead the implementation and optimization of MDM solutions using Informatica or Reltio platforms. Define and drive enterprise-wide MDM architecture, including IDQ, data stewardship, and metadata workflows. Match/Merge and Survivorship strategy and implementation experience D esign and delivery of MDM processes and data integrations using Unix, Python, and SQL. Collaborate with backend data engineering team and frontend custom UI team for strong integrations and a seamless enhanced user experience respectively Manage cloud-based infrastructure using AWS and Databricks to ensure scalability and performance. Coordinate with business and IT stakeholders to align MDM capabilities with organizational goals. Establish data quality metrics and monitor compliance using automated profiling and validation tools. Promote data governance and contribute to enterprise data modeling and approval workflow (DCRs). Ensure data integrity, lineage, and traceability across MDM pipelines and solutions. Provide mentorship and technical leadership to junior team members and ensure project delivery timelines. Lead custom UI design for better user experience on data stewardship Basic Qualifications and Experience Master’s degree with 8 - 10 years of experience in Business, Engineering, IT or related field OR Bachelor’s degree with 10 - 14 years of experience in Business, Engineering, IT or related field OR Diploma with 14 - 16 years of experience in Business, Engineering, IT or related field Functional Skills: Must-Have Skills: Deep knowledge of MDM tools (Informatica, Reltio) and data quality frameworks (IDQ) from configuring data assets to building end to end data pipelines and integrations for data mastering and orchestrations of ETL pipelines Very good understanding on reference data, hierarchy and its integration with MDM Hands on experience with custom workflows AVOS , Eclipse etc Strong experience with external data enrichment services like D&B, Address doctor etc Strong experience on match/merge and survivorship rules strategy and implementations Strong experience with group fields, cross reference data and UUIDs Strong understanding of AWS cloud services and Databricks architecture. Proficiency in Python, SQL, and Unix for data processing and orchestration. Experience with data modeling, governance, and DCR lifecycle management. Proven leadership and project management in large-scale MDM implementations. Able to implement end to end integrations including API based integrations, Batch integrations and Flat file based integrations Must have worked on atleast 3 end to end implementations of MDM Good-to-Have Skills: Experience with Tableau or PowerBI for reporting MDM insights. Exposure to Agile practices and tools (JIRA, Confluence). Prior experience in Pharma/Life Sciences. Understanding of compliance and regulatory considerations in master data. Professional Certifications Any MDM certification ( e.g. Informatica , Reltio etc ) Any Data Analysis certification (SQL) Any cloud certification (AWS or AZURE) Soft Skills: Strong analytical abilities to assess and improve master data processes and solutions. Excellent verbal and written communication skills, with the ability to convey complex data concepts clearly to technical and non-technical stakeholders. Effective problem-solving skills to address data-related issues and implement scalable solutions. Ability to work effectively with global, virtual teams EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Job Title:GN - SC&O - S&P Data Specialist Management Level:09 - Specialist | Location:Bangalore Must have skills:Data Science Experience:5+ years Educational Qualification:Bachelor's Degree KEY RESPONSIBILITIES Data Specialist work closely with the Head of Data Services and Products teams on delivering project independently, leading data analysts to carry out defined pieces of data analysis and secondary market research. Typical work streams: Client/External Supplier Interaction Liaison with various clients/suppliers and establish long-term relationship. Set expectations with customer on deliverables, negotiate on requirements, and obtain signoffs on thefinal deliverable. Lead data extraction efforts and guide data analysts in obtaining and analyzing it. Project Management Manage data analysts to adhere to project deadlines. Align with all internal teams to ensure buy-in from all stakeholders on the critical process pieces. Have formal weekly status review meetings with the delivery team/ CSM's/ Management as well as thecustomer. Understand and resolve any internal or external issues with the processed data or product effectivelyand efficiently. Data Management Guide data analysts and drive end to end data handling from collection to deliverable publish. Ensure that the process is fully documented and auditable. Solve day-to-day process problems as well as logical issues identify innovative approaches andsolutions. Work Experience: 5+ years of project management experience on Spend Analysis/ Procurement domain experience.Academic Qualifications:Masters or Bachelors in Engineering, Mathematics, Computer Science, Business orEconomics Skills Required: Strong leadership and team management skills Excellent analytical and research capabilities comfort and proficiency in handling large data analysisand secondary market research Good spoken and written (English) communication skills should be able to participate in global teamcalls. Excellent MS Excel skills ability to guide others in handling and structuring analysis. Excellent attention to details, high output accuracy and out-of-box thinking to bring in innovativeapproaches to problems/issues in data processing.Additional Skills/Experience Desired: Background in Data Management (knowledge of analytical tools like SAS, Alteryx, Qlik sense anddatabase tools like MS Access, SQL/Oracle database) Knowledge of taxonomies like UNSPSC, NAICS, SIC, E-Class, HTS and other custom specific taxonomies Knowledge of E2E automation for the data classification/Vendor Normalization process through ETL,Scripts or KB Lookups Knowledge of the sourcing, contract management, vendor discovery assessment, vendor riskmanagement, invoice reconciliation & leakage detection, spend miner services, P2P process, etc..