15 Edw Jobs

A Brand Sales Specialist for IBM’s Data & AI portfolio is responsible for working with clients /partners to create thought leadership of the Data & AI portfolio. He/She needs to attain expertise on industry domain wrt key clients and addressable market and should demonstrate an aptitude to be seen as a Trusted Advisor/SME across all steps of the AI Ladder - right from Collect, Organize, Analyze and Infuse. Should be proficient at working with line of business owners to quantify the value of the solution to the client and be able to effectively collaborate across the IBM stakeholders and our business partners. Revenue - Responsible for Sales Budgets and Growth Objectives with respect to the portfolio across the country Channel Strategy - To help grow existing Ecosystems capacity, Identify New Partners and work with the Channel Managers to onboard them and also ensure present capacity is utilized to ensure BP's don't lose focus from our Core Products and existing clients. Develop Industry Use Cases & Sales Play -Build and execute on industry specific use cases and Sales Plays Demand Generation Planning key demand generation activities along with marketing team and design Marketing program to increase the share voice for the Data & AI SW portfolio through events and social Media campaign. Thought Leadership Engage with selected C-Suite Executives of Enterprise & Commercial organizations to share best practices around the Data & AI portfolio and build Unique repeatable Use Cases for each Industry. Client Success Ensure higher client satisfaction ( NPS Score ) and 100% deployment rate. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 15 years of experience selling software or applications software. Minimum 7+ years of experience in selling Data & AI Solutions like ETL, EDW, Data Fabric, Data Governance, Data Science / Model Ops, MDM Experience working with partners in complex implementation projects, including global system integrators and packaged software vendors. People Management Experience Preferred Ability to work with sales engineers and customer’s technical leads to understand existing software estate Identify Business pain points and build business cases for proposed solution. Experience with Complex Solution selling and commercial and legal negotiations skills working with procurement, legal, and business teams. Ability to leverage C-level relationships with executives. Preferred technical and professional experience NA

We are seeking a highly experienced Senior Analyst to help guide us in our quest with our global, regional, and functional commercial policy implementation, reporting & governance projects. This successful candidate will contribute by building metrics, analyzing processes, workflows, and systems with the objective of identifying opportunities for either improvement or automation. Our ideal candidate is comfortable working with all levels of management to gain an in-depth understanding of our strategy and improving customer experience. This role requires close collaboration with product, segment partners, product marketing, customer to cash, sales, marketing, technology, and finance areas. This position resides in the Commercial Excellence organization and reports to the Manager of Commercial Policy Reporting & Governance. About the Role In this role as a Senior Analyst Commercial Policy Reporting & Governance, you will Improve, execute, and effectively communicate significant analyses that identifies meaningful trends and opportunities across the business. Participate in regular meetings with stakeholders & management, assessing and addressing issues to identify and implement improvements toward efficient operations. Provide strong and timely business analytic support to business partners and various organizational stakeholders. Develop actionable road maps for improving workflows and processes. Effectively work with partners across the business to develop processes for capturing project activity, creating metrics driven dashboards for specific use cases, behaviors and evaluating the data for process improvement recommendations. Collaborate with Project Leads, Managers, and Business partners to determine schedules and project timelines ensuring alignments across all areas of the business . Drive commercial strategy and policy alignment with fast changing attributes, while managing reporting, tracking and governance best practices. Identify, assess, manage, and communicate risks while laying out mitigation plan and course corrections where appropriate. Provide insightful diagnostics and actionable insights to the leadership team in a proactive manner by spotting trends, questioning data and asking questions to understand underlying drivers. Proactively identify trends for future governance & reporting needs while presenting ideas to CE Leadership for new areas of opportunity to drive value. Prepare, analyze, and summarize various weekly, monthly, and periodic operational results for use by various key stakeholders, creating reports, specifications, instructions, and flowcharts. Conduct full lifecycle of analytics projects, including pulling, manipulating, and exporting data from project requirements documentation to design and execution. About You Youre a fit for the role of Senior Analyst Commercial Policy Reporting & Governance, if your background includes Bachelors degree required, preferably in Computer Science, Mathematics, Business management, or economics. 4 to 6+ years of professional experience in a similar role. The role requires the candidate to work from 2 pm - 11 pm IST. Willing to work in hybrid mode, Work from Office Twice a week. Proven project management skills related planning and overseeing projects from the initial ideation through to completion. Proven ability to take complex and disparate data sets and create streamlined and efficient data lakes with connected and routinized cadence. Advanced level skills in the following systemsPower BI, Snowflake, Redshift, Salesforce.com, EDW, Excel, MS PowerPoint, and Alteryx/similar middleware data transformation tools. Familiarity with contract lifecycle management tools like Conga CLM, HighQ CLM etc. Ability to quickly draw insights into trends in data and make recommendations to drive productivity and efficiency. Exceptional verbal, written, and visual communication skills Experience managing multiple projects simultaneously within a matrix organization, adhering to deadlines in a fast-paced environment Ability to deploy influencing techniques to drive cross-functional alignment and change across broad audience Ability to be flexible with working hours to support ever-changing demands of the business #LI-GS2 Whats in it For You Hybrid Work Model Weve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrows challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our valuesObsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

Job Title: Data Engineer - SAS DI Location: Pune, Maharashtra, India Experience: 4+ years Job Type: Full-time Hybrid Shift : 11AM -8 PM Mon-Friday Data Engineer What We're Looking For: Design, develop, and maintain ETL pipelines using Informatica PowerCenter or Talend to extract, transform, and load data into EDW systems and data lake. Optimize and troubleshoot complex SQL queries and ETL jobs to ensure efficient data processing and high performance. Technologies - SQL, SAS DI , Informatica Power center, Talend , Big Data, Hive

• Should have led at least 3 large legacy EDW/data platform modernization & migrations to snowflake/databricks/data on cloud engagements in the last 5+ years. • Having experience in leading all aspects of the project/program life cycle, including

Job Summary: We are seeking a highly skilled SAP BODS Data Engineer with strong expertise in ETL development and Enterprise Data Warehousing (EDW) . The ideal candidate will have a deep understanding of SAP Business Objects Data Services (BODS) and will be responsible for designing, developing, and maintaining robust data integration solutions. Key Responsibilities: Design, develop, and implement efficient ETL solutions using SAP BODS. Build and optimize SAP BODS jobs, including job design, data flows, scripting, and debugging. Develop and maintain scalable data extraction, transformation, and loading (ETL) processes from diverse data sources. Create and manage data integration workflows to ensure high performance and scalability. Collaborate closely with data architects, analysts, and business stakeholders to deliver accurate and timely data solutions. Ensure data quality and consistency across different systems and platforms. Troubleshoot and resolve data-related issues in a timely manner. Document all ETL processes and maintain technical documentation. Required Skills & Qualifications: 3+ years of hands-on experience with ETL development using SAP BODS . Strong proficiency in SAP BODS job design, data flow creation, scripting, and debugging. Solid understanding of data integration , ETL concepts , and data warehousing principles . Proficiency in SQL for data querying, data manipulation, and performance tuning. Familiarity with data modeling concepts and major database systems (e.g., Oracle, SQL Server, SAP HANA). Excellent problem-solving skills and keen attention to detail. Strong communication and interpersonal skills to facilitate effective collaboration. Ability to work independently, prioritize tasks, and manage multiple tasks in a dynamic environment. Required Skills Sap,Edw,Etl

Role & responsibilities Plan, develop, and coordinate test activities including creation and execution of test plans and test cases. Perform debugging, defect tracking, test analysis, and documentation. Understand business functionality and application technology under test. Collaborate with on-site teams and other stream areas during release cycles. Utilize ESG QA tools, methodologies, and processes. Ensure low bug rates and high code quality during releases. Manage build deployments to QA and flag risks/issues proactively. Skills Required: Experience with SQL and ETL testing, schema validation, and SCD types. Strong knowledge in data warehouse/BI testing and cloud-based services (Azure). Expertise in writing complex SQL queries and validating data during migration. Proficient in UFT, TFS, Microsoft tools, and peripheral technologies (SAP, PeopleSoft, Aderant). Strong communication, estimation, and project delivery skills. Team leadership, remote collaboration, and quality focus. Interested candidates can share your resume to sarvani.j@ifinglobalgroup.com

Oracle OFSAA with ODI experience Employment Type : CTH with our client Location: Bangalore India No. of positions:1 This role will involve developing and implementing data integration solutions using Oracle Data Integrator (ODI) for Oracle Financial Services Analytical Applications (OFSAA). Candidate would be working on financial data integration, data warehousing, and ETL processes to ensure that the financial and operational data are processed efficiently and meet the required reporting standards. The ideal candidate will have a strong background in Oracle OFSAA, ODI, and financial services data models, and will be capable of delivering high-quality solutions. Technical Skills - 5+ years of strong expertise in Oracle OFSAA, ODI, middleware tools and financial services data models - Proficiency in SQL, PL/SQL and other relevant technologies. - Write and optimize SQL queries, PL/SQL scripts, and other database management tasks to support system functionality. Key Responsibilities: Data Integration Maintenance/ Development Design and develop ETL processes using Oracle Data Integrator (ODI) for financial services applications. Work on integrating data from different financial systems/ EDW into OFSAA Design and implement solutions for data extraction, transformation, and loading (ETL) OFSAA Application Management Develop, enhance, and maintain integration processes within Oracle OFSAA EPM modules (e.g. ALM, LRM, FTP, LLFP and PFT). Ensure seamless integration between OFSAA modules and external data sources/systems. Work with stakeholders to understand business requirements and map them into effective data solutions using ODI and OFSAA. Performance Tuning Optimize ODI ETL workflows for performance and efficiency. Monitor data processing and troubleshoot issues related to data integration and OFSAA functionalities. Data Quality & Validation Work closely with data analysts and business users to ensure that data in OFSAA is accurate and reflects business needs.

Job Purpose "This position is open with Bajaj Finance ltd." The company is going through the biggest digital transformation in its history, creating a platform that offers an omnichannel experience to the customer, supported by a large distribution footprint of over 1 million partners. Manage and enrich Franchise customer data of 55 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. Build a database which targets rights sets of customers which results in less customer complaints & lead to Brand Reputation. 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 Duties and Responsibilities ‚ Offer and Data Quality oAnalyse whether enriched data sets are leading to better Approval rates oAnalyse and fix rejections happening on any data which has been enriched and verified oAnalyse if BFL Market share is increasing and Performance of Offer vs No Offer pool oUsing data to understand where customer drop-offs occur and what are their pain points oConduct timely frequent audits to ensure that the companys brand is getting represented properly and factual business information is being adhered to oData Enrichment of Franchise base basis internal & External Sources oResponsible for end-to-end Data Quality & Data Enrichment, Validation & Verification for variables oUsing data to understand where customer drop-offs occur and what are their pain points oConduct timely frequent audits to ensure that the companys brand is getting represented properly and factual business information is being adhered to oDefine validation rules and confidence levels for any variable brought into the single repository oDefine 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 oGovernance of New Data element or New Data Source oResponsible for ensuring error rates in Data Quality are maintained within threshold levels oDefine validation rules for data fields to ensure that junk data does not enter the repository oResponsible to ensure that the data tables have no data quality issues oEnsure all Existing & Prospect records are maintained in a single repository oAll other data points related to these records and any data enrichment to be maintained in a single repository oData Enrichment oEngage with Partnership team in validating the information is meeting the quality standards that have been defined oWill qualify whether data points from a Particular Partner or Source can be used for Enrichment oWill 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 ‚ Evaluate usage of data for additional propositions (Line/approval) to customer ‚ Clean up of existing data in BAU as well as create the new framework of data storage Required Qualifications and Experience a)Qualifications ‚ Post-graduation/ MBA with 2+ years experience in retail lending Risk b)Work Experience ‚ Minimum 2+ years of experience in SQL/EDW management ‚ Excellent analytical, data management and presentation skills ‚ 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 ‚ Effective verbal and written communication skills and stakeholder management ‚ Exceptionally high motivational levels and a self-starter

Job Purpose "This position is open with Bajaj Finance ltd." Manage and enrich Franchise customer data of 45 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 Duties and Responsibilities 3. PRINCIPAL ACCOUNTABILITIES (Accountabilities associated with the job) ‚ Data Quality, Data Standardization & New Data Enrichment Management oData Standardization & Data Quality oEnsure all Existing & Prospect records are maintained in a single repository oAll other data points related to these records and any data enrichment to be maintained in a single repository oDefine SOP & rules for duplicate identification and resolution oDefine validation rules for data fields to ensure that junk data does not enter the repository oPrepare 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. oDefine field quality validations and create data quality index oDefine 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 oGovernance of New Data element or New Data Source oWork with IT BIU team in creation of Real Time Data Quality dashboards oResponsible for ensuring error rates in Data Quality are maintained within threshold levels oWork with IT BIU team in creation of Data Confidence & Fill Rate dashboards oDefine SOP and scope of activities for Data Quality management through Manual intervention to be executed through outsourced Credit Ops shop in Bareily oControl checks on data quality management done through Bareily shop oDefine validation rules and confidence levels for any variable brought into the single repository oResponsible to ensure that the data tables have no data quality issues oData Enrichment oEngage with Partnership team in validating the information is meeting the quality standards that have been defined oWill qualify whether data points from a Particular Partner or Source can be used for Enrichment oWill also identify and maintain list of sources, websites which are to be used for Data Enrichment ‚ Stakeholder Management ‚ Setup and convene Change Control Board meeting with all stake holders across all businesses and functions ‚ Engaging with Data Partnership team for Data quality and Data Offer team for usage of data for offer generation ‚ Engaging with EDW team for creating and managing tables ‚ Team development ‚ Identify the right talent at positions within the function ‚ Establish individual performance expectations and regularly review individual performance of the team ‚ Identify development needs of teams and provide appropriate opportunities (trainings for professional development etc.) to ensure teams are motivated and equipped to drive business Required Qualifications and Experience ucational Qualifications a)Qualifications ‚ Post-graduation/ MBA/ Educational background in mathematical, statistical and data science orientations b)Work Experience ‚ Minimum 7+ years of experience in 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

Job Purpose "This position is open with Bajaj Finance ltd." To lead RCU Data Unit. Enabling Business team to take important decisions based on various data facts and trends. Duties and Responsibilities PRINCIPAL ACCOUNTABILITIES (Accountabilities associated with the job) Developing and maintaining databases, data systems- reorganizing data in a readable format Working with Product Process owners to identify process improvement opportunities, propose system modifications, and develop data level new reports. Preparing reports for the management stating trends, patterns, and predictions using relevant data Performing analysis to assess quality and meaning of data. Enabling Business team to take important decisions based on various data facts and trends. Making Dashboard in Power BI. To handle RCU Data unit and get fulfilled all data requirement within time. Provide training to team members. 4. MAJOR CHALLENGES (Challenges faced on an on-going basis in carrying out the job) To make good understanding of new Data sources/tools like EDW /Data bricks / objects. Study of Existing data variables of across all products 5. DECISIONS (Key decisions taken by job holder at his/her end) ‚ Introduce new data tools or new reports/dashboard to control fraud. 6. INTERACTIONS (Key working relationships a job holder needs to have INSIDE and OUTSIDE the company to accomplish the job) Internal Clients Roles you need to interact with inside the organization to enable success in your day to day work Connect with all Product Process owners for making reports/dashboard. External Clients Roles you need to interact with outside the organization to enable success in your day to day work NA 7. DIMENSIONS (Key numerical data which will reflect the scope and scale of activities concerning this job) Financial Dimensions (FY 19) (These should be quantifiable numerical amounts) ‚ NA Required Qualifications and Experience Educational Qualifications Qualifications ‚ Minimum Qualification:Graduation (BE/ BTech/ MCA preferred) ‚ Strong mathematical skills to help collect, measure, organize and analyze data Work Experience ‚ Should at least have 6-7 years of experience in Banking industry. ‚ Proven working experience in data analysis ‚ Knowledge of programming languages like SQL, and Python. ‚ Good experience in data visualization software like Power BI.

Job Purpose "This position is open with Bajaj Finance ltd." Manage and enrich Franchise customer data of 45 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 Duties and Responsibilities 3. PRINCIPAL ACCOUNTABILITIES (Accountabilities associated with the job) ‚ Data Quality, Data Standardization & New Data Enrichment Management oData Standardization & Data Quality oEnsure all Existing & Prospect records are maintained in a single repository oAll other data points related to these records and any data enrichment to be maintained in a single repository oDefine SOP & rules for duplicate identification and resolution oDefine validation rules for data fields to ensure that junk data does not enter the repository oPrepare 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. oDefine field quality validations and create data quality index oDefine 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 oGovernance of New Data element or New Data Source oWork with IT BIU team in creation of Real Time Data Quality dashboards oResponsible for ensuring error rates in Data Quality are maintained within threshold levels oWork with IT BIU team in creation of Data Confidence & Fill Rate dashboards oDefine SOP and scope of activities for Data Quality management through Manual intervention to be executed through outsourced Credit Ops shop in Bareily oControl checks on data quality management done through Bareily shop oDefine validation rules and confidence levels for any variable brought into the single repository oResponsible to ensure that the data tables have no data quality issues oData Enrichment oEngage with Partnership team in validating the information is meeting the quality standards that have been defined oWill qualify whether data points from a Particular Partner or Source can be used for Enrichment oWill also identify and maintain list of sources, websites which are to be used for Data Enrichment ‚ Stakeholder Management ‚ Setup and convene Change Control Board meeting with all stake holders across all businesses and functions ‚ Engaging with Data Partnership team for Data quality and Data Offer team for usage of data for offer generation ‚ Engaging with EDW team for creating and managing tables ‚ Team development ‚ Identify the right talent at positions within the function ‚ Establish individual performance expectations and regularly review individual performance of the team ‚ Identify development needs of teams and provide appropriate opportunities (trainings for professional development etc.) to ensure teams are motivated and equipped to drive business Required Qualifications and Experience ucational Qualifications a)Qualifications ‚ Post-graduation/ MBA/ Educational background in mathematical, statistical and data science orientations b)Work Experience ‚ Minimum 7+ years of experience in 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

Job Purpose 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 Duties and Responsibilities ‚ Data Quality - New Data Enrichment Management oData Standardization & Data Quality oData Enrichment of Franchise base basis internal & External Sources oResponsible for end-to-end Data Quality & Data Enrichment, Validation & Verification for variables oPrepare 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. oDefine validation rules and confidence levels for any variable brought into the single repository. oDefine 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. oData verifications as per Confidence Flagging and insert into enrichment Mart oGovernance of New Data element or New Data Source oResponsible for ensuring error rates in Data Quality are maintained within threshold levels oDefine SOP and scope of activities for Data Quality management through Manual intervention to be executed through outsourced Credit Ops shop in Bareily oControl checks on data quality management done through Bareily shop oDefine validation rules for data fields to ensure that junk data does not enter the repository oResponsible to ensure that the data tables have no data quality issues oEnsure all Existing & Prospect records are maintained in a single repository oAll other data points related to these records and any data enrichment to be maintained in a single repository oData Enrichment oEngage with Partnership team in validating the information is meeting the quality standards that have been defined oWill qualify whether data points from a Particular Partner or Source can be used for Enrichment oWill 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 well 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

Responsibilities In this role as Brand Sales Specialist– Data & AI Software, you will work across the region that help Clients drive business outcomes using IBM’s Data & AI Software Offerings. The technology areas that you will be responsible are as under Data Engineering – Data Quality, Data Pipeline, Data Stage ( ETL ), Enterprise Datawarehouse, Watsonx.data ( Open Data Lakehouse ), Data Observability, Data Governance Data Science – Watsonx.ai ( IBM’s Gen AI Platform ), AI Governance ( watsonx.gov ), Customer Care ( Wastonx.Assistant ) Visualisation ( Cognos ) IBM Planning Analytics IBM Governance Risk and Compliance Offering ( GRC ) Digital Business Automation – Intelligent Data Capture, BPM / BRE Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 12 years of experience selling software or applications software. Minimum 5+ years of experience in selling Data & AI Solutions like ETL, EDW, Data Fabric, Data Governance, Data Science / Model Ops, MDM Experience working with partners in complex implementation projects, including global system integrators and packaged software vendors. People Management Experience Preferred Ability to work with sales engineers and customer’s technical leads to understand existing software estate Identify Business pain points and build business cases for proposed solution. Experience with Complex Solution selling and commercial and legal negotiations skills working with procurement, legal, and business teams. Ability to leverage C-level relationships with executives. Preferred technical and professional experience NA

Responsibilities In this role as Brand Sales Specialist– Data & AI Software, you will work across the region that help Clients drive business outcomes using IBM’s Data & AI Software Offerings. The technology areas that you will be responsible are as under Data Engineering – Data Quality, Data Pipeline, Data Stage ( ETL ), Enterprise Datawarehouse, watsonx.data ( Open Data Lakehouse ), Data Observability, Data Governance Data Science – watsonx.ai ( IBM’s Gen AI Platform ), AI Governance ( watsonx.gov ), Customer Care (wastonx.Assistant ) Visualisation ( Cognos ) IBM Planning Analytics IBM Governance Risk and Compliance Offering ( GRC ) Digital Business Automation – Intelligent Data Capture, BPM / BRE Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 15 years of experience selling software or applications software. Minimum 7+ years of experience in selling Data & AI Solutions likeETL, EDW, Data Fabric, Data Governance, Data Science / Model Ops, MDM Experience working with partners in complex implementation projects, including global system integrators and packaged software vendors. People Management Experience Preferred Ability to work with sales engineers and customer’s technical leads to understand existing software estate Identify Business pain points and build business cases for proposed solution. Experience with Complex Solution selling and commercial and legal negotiations skills working with procurement, legal, and business teams. Ability to leverage C-level relationships with executives. Preferred technical and professional experience NA

Responsibilities A Brand Sales Specialist for IBM’s Data & AI portfolio is responsible for working with clients /partners to create thought leadership of the Data & AI portfolio. He/She needs to attain expertise on industry domain wrt key clients and addressable market and should demonstrate an aptitude to be seen as a Trusted Advisor/SME across all steps of the AI Ladder – right from Collect, Organise, Analyse and Infuse. Should be proficient at working with line of business owners to quantify the value of the solution to the client, and be able to effectively collaborate across the IBM stakeholders and our business partners. Revenue - Responsible for Sales Budgets and Growth Objectives with respect to the portfolio across the country Channel Strategy - To help grow existing Ecosystems capacity, Identify New Partners and work with the Channel Managers to onboard them and also ensure present capacity is utilized in order to ensure BP's don't lose focus from our Core Products and existing clients. Develop Industry Use Cases & Sales Play -Build and execute on industry specific use cases and Sales Plays Demand Generation :Planning key demand generation activities along with marketing team and design Marketing program to increase the share voice for the Data & AI SW portfolio through events and social Media campaign. Thought Leadership : Engage with selected C-Suite Executives of Enterprise & Commercial organizations to share best practices around the Data & AI portfolio and build Unique repeatable Use Cases for each Industry. Client Success : Ensure higher client satisfaction ( NPS Score ) and 100% deployment rate. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 15 years of experience selling software or applications software. Minimum 7+ years of experience in selling Data & AI Solutions likeETL, EDW, Data Fabric, Data Governance, Data Science / Model Ops, MDM Experience working with partners in complex implementation projects, including global system integrators and packaged software vendors. People Management Experience Preferred Ability to work with sales engineers and customer’s technical leads to understand existing software estate Identify Business pain points and build business cases for proposed solution. Experience with Complex Solution selling and commercial and legal negotiations skills working with procurement, legal, and business teams. Ability to leverage C-level relationships with executives. Preferred technical and professional experience NA