4996 Data Governance Jobs - Page 49

About The Role Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with various teams to understand their needs, developing innovative solutions, and ensuring that applications are aligned with business objectives. You will also engage in problem-solving activities, providing insights and recommendations to enhance application performance and user experience. Roles & Responsibilities:- Expected to be a Subject Matter Expert with deep knowledge and experience.- Should have influencing and advisory skills.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate workshops and discussions to gather requirements and feedback from stakeholders.- Mentor junior professionals in application development best practices. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of data integration and ETL processes.- Experience with cloud-based data solutions and architectures.- Familiarity with data governance and compliance standards.- Ability to work with large datasets and perform data analysis. Additional Information:- The candidate should have minimum 15 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

Position Summary: We are seeking a Senior BI Platform Engineer with 10+ years of experience and deep expertise in Tableau, Power BI, Alteryx, and MicroStrategy (MSTR) . The ideal candidate will serve as a technical lead and administrator for our BI platforms, ensuring reliable performance, advanced user support (L3), and stakeholder engagement. This role also includes implementing and maintaining CI/CD pipelines for BI assets to ensure scalable, automated, and governed deployment processes. Key Responsibilities: Serve as platform administrator for Tableau, Power BI, Alteryx, and MSTRmanaging permissions, data sources, server performance, and upgrades. Provide Level 3 (L3) support for BI platforms, resolving complex technical issues, root cause analysis, and platform-level troubleshooting. Design, implement, and maintain CI/CD pipelines for BI dashboards, dataflows, and platform configurations to support agile development and deployment. Collaborate with cross-functional teams to gather requirements and ensure proper implementation of dashboards and analytics solutions. Monitor and optimize BI platform performance, usage, and adoption. Work closely with data engineering teams to ensure data quality and availability for reporting needs. Create and maintain documentation for governance, support processes, and best practices. Train and mentor users and junior team members on BI tools and reporting standards. Act as a liaison between business stakeholders and technical teams, ensuring alignment and timely resolution of issues. Manage all BI upgrades Manage Power BI gateway, Tableau bridge, Alteryx server and other BI platforms capacity optimally Manage and enable new features in each of the BI platforms Manage licenses for each platform automated assignments, off-boarding users off the licensing and manage the licensing optimally Manage RBAC for all the BI platforms Required Qualifications: 10+ years of experience in a BI support or engineering role. Advanced experience with Tableau, Power BI, Alteryx, and MSTR , including administrative functions, troubleshooting, and user support. Proven experience providing L3 support and managing CI/CD pipelines for BI platforms. Strong knowledge of BI architecture, data visualization best practices, and data modelling concepts. Excellent roblem-solving and communication skills, with the ability to interact confidently with senior business leaders. Experience with SQL, data warehouses, and cloud platforms (e.g. Azure, Snowflake) is preferred. Bachelors degree in computer science, Information Systems, or a related field. Preferred Qualifications: Experience with Tableau Server/Cloud, Power BI Service, and MSTR administration. Familiarity with enterprise data governance and access control policies. Certifications in Tableau, Power BI, Alteryx, or MSTR are a plus.

About Business line/Function : Corporate and Institutional Banking Information Technology Overview The Information Technology teams at BNP Paribas India Solutions are aligned with the BNP Paribas business teams as well as the Information Technology teams present in BNP Paribas onshore locations such as Asia, Australia, Middle East, Europe and Americas. The Information Technology teams are located in Mumbai, Bangalore and Chennai. Their key service offerings are as follows: Application Development and Maintenance Application Testing Application Support IT Infrastructure Support IT Security Shared Service Centers The role of the CIB IT Architecture Team is to proactively define, maintain and evolve the organization technology architecture strategy, ensuring alignment with business goals and technology investments. This role leads a team of architects to design scalable, secure, stable and cost-effective enterprise solutions across applications, data and infrastructure layer. The role requires technical expertise, strategic vision, and strong leadership to guide technology decisions that enable innovation at scale and long-term business value. The scope includes: Strategy & governance Solution Oversight Talent Development Relationships between the above and the external environment. Steering & Governance and Architecture services are organised around: IT strategy IT Assets and Standards Management Architecture assurance Digital governance Solution delivery & support Governance & controls Reporting & KPIs Position Purpose In alignment with CIB ITO and ITG, the Head of ISPL CIB IT Enterprise Architecture is responsible for helping define and promote IS strategy and ensuring its operational implementation regarding adoption of new technologies, services & methodologies , information systems, steering IS projects, innovation affecting their line or work either directly or through cross-entity projects, leading their team, guarantying human resource management in conjunction with the Human Resources Department, and guaranteeing the proper management of IT risks & cyber security related to their line of work. The scope of this role is CIB/CIB IT globally. Responsibilities The Head of ISPL CIB IT Architecture responsibilities include: Define the policy and objectives of their scope based on the entitys strategic priorities Adapt the entitys general strategy concerning information systems in accordance with the Group-level IT Governance procedures and the Groups conduct and compliance principles Participate in compiling the needs expressed by the Business to prepare the entitys strategic plan and the related request portfolio Participate in the operational implementation of the entitys objectives in its scope Evaluate emerging technologies and market trends, assessing their potential to deliver competitive advantage. Lead their team, organize and guarantee that work within their scope of responsibility is properly completed Contextualize and relay information from Executive Management to the team Lead the team and guarantee local management for the team members and assist them in their entitys transformation Present, explain and adapt the objectives set for their scope Set objectives, define operating methods and organize work for teams in line with the resources allocated Coordinate and monitor all activities under their responsibility Promote teamwork, co-construction and cross-functionality Guarantee that methods are applied in their scope Guarantee human resource management, in conjunction with the Human Resources Department Give regular performance feedback to their employees and evaluate them annually Develop their employees skills to guarantee employability Determine their teams training needs Give management the information needed for the staffs career management (promotions, pay and/or allocation of variable compensation) Participate in their teams succession plan Participate in their teams recruitment process Participate in the management of disciplinary issues Manage resources made available to them in accordance with schedules, budgets and quality standards Help define their budget and monitor costs incurred Participate in the companys savings plan Make and report on decisions Build action plans and monitor their implementation Participate in the definition, implementation and analysis of monitoring, performance and service quality indicators Report alerts depending on the governance established within the scope when the activity has an operational risk and propose necessary corrective action plans Take part in process improvement initiatives Manage available human resources to achieve the expected results in terms of quality, costs and deadlines Together with Procurement, ensure a contractual relationship within the framework of Procurement procedures and approved service providers Assess and manage the IT & Cyber security risks within their scope of responsibility Be aware of IT & Cyber security risks and the fundamental concepts to process them, while taking into account day-to-day and future activities Apply and promote the Groups IT governance rules, including those related to IT & Cyber security risks, within their activities, teams and relationships with third parties Communicate any organizational, scope or operational change impacting the risk profile of their activities, and report developing IT & Cyber security risks to their immediate supervisor Depending on their level of delegation, implement the necessary corrective actions CIB IT Architecture Responsibilities Administration & Surveillance : requiring strong common processes & frameworks to funnel, record and analyse IS information at enterprise level Current : Application Portfolio Management, Technology & Service Catalogue, Application Cartography Forward : through ITVC Process within Project Portfolio Management, Technology Roadmap, Technical Due Diligence Framework Exploration : Innovation Process Management, IT Market Watch Drive & Recommend IS Strategic Orientation at CIB level : requiring a combined strong functional expertise from the Enterprise and Mtier Architecture teams Manage CIB IT Technologies & Services Standards Catalogue : requiring strong technical expertise & close articulation with Technology Group both within and outside the enterprise Provide Exploration Management : on key emerging Technologies to ensure market-relevant value extraction for the businesses and define where this would land within our IT organisation when shifting to Industrialisation Technical & Behavioral Competencies Technical Proven track record designing and delivering large-scale, complex enterprise systems. Expertise in architecture domain (Applications, data, infra and security) Strong knowledge on cloud architectures Experience w/API, Microservices etc Understanding Data architecture (Data lakes, data governance) Behavioral Ability to delegate Drive change Employee development Demonstrate strategic vision Give directions in a positive way Encourage commitment Networking Integrate the multicultural aspect Communication skills Decision-making skills Ability to listen Client focused Value employees Risk-informed enterprise Lead by example.

Data Manager (5-8 years) The data modeler designs, implements, and documents data architecture and data modeling solutions, which include the use of relational, dimensional, and NoSQL databases. These solutions support enterprise information management, business intelligence, machine learning, data science, and other business interests. The successful candidate will: Be responsible for the development of the conceptual, logical, and physical data models, the implementation of RDBMS, operational data store (ODS), data marts, and data lakes on target platforms (SQL/NoSQL). Oversee and govern the expansion of existing data architecture and the optimization of data query performance via best practices. The candidate must be able to work independently and collaboratively. Responsibilities Implement business and IT data requirements through new data strategies and designs across all data platforms (relational, dimensional, and NoSQL) and data tools (reporting, visualization, analytics, and machine learning). Work with business and application/solution teams to implement data strategies, build data flows, and develop conceptual/logical/physical data models Define and govern data modeling and design standards, tools, best practices, and related development for enterprise data models. Identify the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads, security concerns, analytic models, and data visualization. Hands-on modeling, design, configuration, installation, performance tuning, and sandbox POC. Work proactively and independently to address project requirements and articulate issues/challenges to reduce project delivery risks. Skills Bachelors or masters degree in computer/data science technical or related experience. 5+ years of hands-on relational, dimensional, and/or analytic experience (using RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols). Experience with data warehouse, data lake, and enterprise big data platforms in multi-datacenter contexts required. Good knowledge of metadata management, data modeling, and related tools (Erwin or ER Studio or others) required. Experience in team management, communication, and presentation.

Data Modeling Specialist Job Description Develop the logical data model based on the understanding of the conceptual model and conduct data profiling to deliver high-quality data models and high-quality data within the limits of standards defined by the client, and the industry. Analyses the requirements and creates a clarification list, if required. Define data requirements based on an understanding of the same. Create a conceptual model based on the understanding of the business processes. Map KPIs to the conceptual model, if required Validate the conceptual model with the client Create a logical model (capturing the descriptions of entities, tables, columns, etc.) based on the conceptual model. Create tables and relationships between the tables. Map conceptual to the logical model to ensure the coverage Identify the entities and their properties. Define the attributes and domain (data types). Create a physical model based on functional/ non-functional requirements for small and simple projects. Seek review inputs from the Lead / Manager / Architect on the logical and physical model. Define the data dictionary/ business glossary based on the model developed if required. Define the data governance model to ensure the data quality Interact with SMEs (business) and architects to validate whether the data model is aligned with the technology suggested for the project Interact with the Architect to gather reporting requirements and create models based on the same. Participate in Data Model Health Assessments Create questionnaires, analyse the AS-IS data model for data structure, conformance to industry standards, best practices, and make recommendations for solution/roadmap. Requirements Ability to coordinate and explain with business users to get the requirements. Should have very good and clear communication skills. Should have experience working in an Onsite-offshore model. 10+ Years of experience in writing complex DB queries in MS SQL Server, Azure Data Models, Power BI, and Azure Analytics Services. Must have 5+ years of minimum experience in developing conceptual, logical, and physical data models, the implementation of RDBMS, operational data store (ODS), data marts, and data lakes on target platforms. Normalization/Denormalization concepts. Metadata management and data governance. Strong Data Analysis and Physical Data Modeling experience. Deep expertise in data modeling and structuring, and experience in high-volume data environments. Good experience in schema designs and data warehousing ETL/ELT concepts. Experience: 5+ Years Job Location: Faridabad

Experience Summary 12+ years of total experience in reporting and BI solution delivery Minimum 5 years hands-on expertise in: Power BI reporting, Advanced DAX, APIs, Copilot integration, semantic model optimization, advanced analysis, and enterprise-wide dashboarding Strong SQL proficiency and deep familiarity with data quality principles and practices Microsoft Fabric experience is required Proven experience in Power BI security models including RLS, dataset management, data governance, and stakeholder collaboration Focus Areas Advanced Power BI Development Semantic Modelling Data Governance Stakeholder Engagement Analytics Enablement Responsibilities Architect and deliver compelling, interactive Power BI dashboards that drive strategic insights across functions Lead semantic model design and optimization for scalable, performant reporting with curated metrics and calculated columns Apply advanced DAX for complex logic, layered analytics, and time-intelligence functions Integrate external and internal data sources using APIs, SQL, and Power Query; ensure data reliability and governance adherence Enable Power BI Copilot integration to improve report usability, automation, and insights generation Implement and manage Power BI security including RLS and workspace governance Champion enterprise BI adoption by fostering self-service enablement and high-value reporting practices Improve reporting pipelines with CI/CD automation (e.g., deployment workflows, version control, environment promotion) Collaborate with engineering, data architecture, and business teams to ensure reporting aligns with data platform strategy Support data governance programs including data quality management, cataloging, and lineage tracking (Microsoft Purview experience a plus) Proactively engage stakeholders to understand requirements, translate business needs into technical artifacts, and deliver measurable value Qualifications Deep technical expertise in Power BI development, DAX, Power Query, semantic modelling, Copilot integration, and performance tuning Skilled in SQL development and optimization across data sources including SQL Server, Salesforce, and Oracle ERP Strong understanding of Microsoft Fabric and its role in scalable BI and analytics solutions Experienced in implementing Power BI security, data governance protocols, and data quality controls Proven track record of stakeholder engagement across business and technical teams Proficiency in CI/CD for BI workflows and managing lifecycle of analytics solutions Growth-oriented with strong ownership, learning agility, and drive for continuous improvement Able to work independently while aligning with cross-functional objectives High integrity and professionalism, with the ability to pass comprehensive background verification

We are looking for an experienced Data Engineer to join our team in Mumbai. As a Data Engineer, you will be responsible for designing, building, and maintaining efficient data pipelines that transform raw data into actionable insights. You will work closely with data scientists and analysts to ensure that data is accessible, reliable, and optimized for analysis. Your role will also involve handling large datasets, ensuring data quality, and implementing data processing frameworks. Key Responsibilities: Design and build scalable data pipelines for processing, transforming, and integrating large datasets. Develop and maintain ETL processes to extract, transform, and load data from multiple sources into the data warehouse. Collaborate with data scientists and analysts to ensure that the data is optimized for analysis and modeling. Ensure the quality, integrity, and security of data throughout its lifecycle. Work with cloud-based technologies for data storage and processing (AWS, Azure, GCP). Implement data processing frameworks for efficient handling of structured and unstructured data. Troubleshoot and resolve issues related to data pipelines and workflows. Automate data integration processes and ensure data consistency and accuracy across systems. Required Skills: 5+ years of experience in Data Engineering with hands-on experience in data pipeline development. Strong expertise in ETL processes, data integration, and data warehousing. Proficiency in SQL, Python, and other programming languages for data manipulation. Experience with cloud technologies such as AWS, Azure, or Google Cloud. Knowledge of big data technologies like Hadoop, Spark, or Kafka is a plus. Strong understanding of data modeling, data quality, and data governance. Familiarity with NoSQL databases (e. g. , MongoDB, Cassandra) and relational databases. Strong analytical and problem-solving skills with the ability to work with large, complex datasets. Technical Skills: Data Engineering | ETL | SQL | Python | AWS | Azure | Google Cloud | Hadoop | Spark | Kafka | Data Warehousing | Data Modeling | NoSQL | Data Quality

Hands-on engineering management Leadership: Provide strong leadership and guidance to the Data Unification Team, driving a culture of excellence, innovation, and collaboration. Data Unification Strategy: Develop and implement data unification strategies, frameworks, and best practices to deliver effective data management solutions. Team Management: Lead, mentor, and inspire a team of data engineers and analysts, fostering their professional growth and ensuring the teams success in meeting project goals. Data Governance: Define and enforce data governance policies, standards, and procedures to ensure data quality, integrity, and security across all data unification activities. Project Management: Oversee end-to-end project management, including scoping, planning, resource allocation, and execution of data unification projects, ensuring timely delivery within budget and scope. Stakeholder Collaboration: Collaborate with cross-functional teams, including Product Management, Engineering, and Customer Success, to align data unification initiatives with overall business objectives and customer requirements. Continuous Improvement: Identify areas for process improvement, automation, and optimization, driving efficiency and scalability in data unification operations. Industry Trends: Stay updated with industry trends, emerging technologies, and best practices in data management and unification, leveraging this knowledge to drive innovation and enhance our offerings. Skills You Must Have: Hands on engineering management Leadership: Provide strong leadership and guidance to the Data Unification Team, driving a culture of excellence, innovation, and collaboration. Data Unification Strategy: Develop and implement data unification strategies, frameworks, and best practices to deliver effective data management solutions. Team Management: Lead, mentor, and inspire a team of data engineers and analysts, fostering their professional growth and ensuring the teams success in meeting project goals. Data Governance: Define and enforce data governance policies, standards, and procedures to ensure data quality, integrity, and security across all data unification activities. Project Management: Oversee end-to-end project management, including scoping, planning, resource allocation, and execution of data unification projects, ensuring timely delivery within budget and scope. Stakeholder Collaboration: Collaborate with cross-functional teams, including Product Management, Engineering, and Customer Success, to align data unification initiatives with overall business objectives and customer requirements. Continuous Improvement: Identify areas for process improvement, automation, and optimization, driving efficiency and scalability in data unification operations. Industry Trends: Stay updated with industry trends, emerging technologies, and best practices in data management and unification, leveraging this knowledge to drive innovation and enhance our offerings. Skills That Are Nice to Have: Experience in data management, data unification, or related fields, with a focus on managing large-scale data projects. Experience in Master Data Management. Why Join Reltio? Health & Wellness: Comprehensive Group medical insurance, including your parents, with additional top-up options. Accidental Insurance Life insurance Free online unlimited doctor consultations An Employee Assistance Program (EAP) Work-Life Balance: 36 annual leaves, which include Sick leaves 18, Earned Leaves - 18 26 weeks of maternity leave, 15 days of paternity leave Very unique to Reltio - 01 week of additional off as recharge week every year globally Support for home office setup: Home office setup allowance. Stay Connected, Work Flexibly: Mobile & Internet Reimbursement No need to pack a lunch we ve got you covered with a free meal. And many more ..

The People Services Master Data Management is a team of experts that helps deliver Sanofi s ambition to democratize access to people and culture data in the company, delivering methods and tools to support data driven decision making. Activities include data visualizations by creating and maintaining People analytic solutions and dashboards for helping requestors to get the insights of selected business topics, data mining to support process simplification and governance of people data foundation. Main responsibilities Collaborate with senior leaders and stakeholders to gather requirements for complex people analytics projects Design and implement sophisticated data models to support advanced analytics Develop and maintain a comprehensive suite of people analytics KPIs, including headcount, attrition, internal movement, mean span, and other critical metrics in collaboration with reporting experts and insights leaders Build People data related analysis in Visier Sanofi s Global people analytics solution for in-depth visualization Create and maintain interactive dashboards and analysis using various global data visualization tools Conduct advanced data mining and predictive analytics to support strategic HR initiatives Collaborate closely with digital data warehousing teams to leverage enterprise datamart solutions, and with the Digital HCM team to support extraction from Workday to the warehouse Experience Minimum 5 years of data modelling and data extraction expertise Minimum 3 years of experience working with people analytics KPIs and global data visualization tools Strong people data experience is required Proven track record in developing and maintaining complex data models for HR analytics Extensive experience in calculating and analyzing key people analytics metrics (e.g., headcount, attrition, internal movement, mean span) Strong background in developing and maintaining analytics dashboards preferably with Visier Solid understanding of data governance concepts and their application in a global context Experience working in agile development methods, preferably in a global team setting Soft skills Demonstrated ability to work effectively in an international, matrix environment Exceptional stakeholder management skills, with experience in global team dynamics Proven fast learner, able to quickly adapt to new tools and solutions Strong collaborative skills, able to work across functions with an end-to-end mindset Excellent communication and requirement gathering skills in a global context Ability to produce clear, concise, and impactful documentation and presentations Customer-focused with a keen attention to stakeholder needs and feedback Strong organizational and prioritization skills in managing multiple global projects Detail-oriented with a focus on data accuracy and quality Ability to translate complex data insights into actionable business recommendations Action-oriented, delivery-driven, and comfortable leading change initiatives Advanced problem-solving, deductive, and analytical skills Technical skills Expert-level proficiency in data extraction and data modelling to support advanced analytics data storage Strong skills in global data visualization tools (e.g., Visier, Power BI, Tableau) Visier experience and exposure to people-related AI methodologies is strongly preferred Proficient in HR systems such as Workday or similar global HCM platforms Power BI DAX, SQL skills; proficiency in Python libraries for data analysis is a strong plus Languages Fluent in English, with excellent written and verbal communication skills

We are seeking a Data Visualisation Specialist with deep expertise in Power BI and Tableau to join Arms global Enterprise IT department. You ll play a key role in enabling data-driven decision-making by building high-performance dashboards backed by Databricks data pipelines. You will also guide the team in optimising calculation layers between frontend BI tools and backend data systems , ensuring scalable and efficient reporting. Responsibilities: Design, build, and maintain sophisticated, interactive dashboards and reports, enabling data-driven decisions across the business. Reverse-engineer existing visualisations to extract logic, identify inefficiencies, and optimise for usability and performance. Collaborate with partners to understand analytical needs and translate them into impactful visual stories. Identify where calculations should reside - in the backend (e.g. Databricks) versus frontend (Power BI, Tableau) - balancing performance and maintainability. Support and mentor team members in advanced visualisation techniques and performance tuning. Work closely with data engineers to ensure clean, well-modelled data is available through Databricks or other pipelines. Establish and champion visualisation standard methodologies across tools, including consistency, documentation, and version control. Required Skills and Experience: 2 - 4 years Expert-level experience in developing on Power BI / Tableau, including proven command of DAX, LOD expressions, custom calculations, and parameterised visuals. Ability to diagnose performance issues and make recommendations on calculation pushdown (backend vs frontend). Familiarity with large-scale data pipelines, particularly connecting to and visualising data from Databricks. Proven grasp of relational and dimensional data models, joins, and filters across BI layers. Excellent colleague engagement ability, translating business problems into analytical solutions. Experience mentoring others or leading training and knowledge-sharing sessions. Nice To Have Skills and Experience: Familiarity with Power BI Service or Tableau Server/Online administration. Understanding of data governance, cataloguing, or lineage tracking tools. Hands-on experience working directly in Databricks, including SQL or PySpark usage. Experience with Jira and visualising team performance, release plans and project data.

Apprentice_Analyst Roles and responsibilities: Data enrichment/gap fill, standardization, normalization, and categorization of online and offline product data via research through different sources like internet, specific websites, database, etc. Data quality check and correction Data profiling and reporting (basic) Email communication with the client on request acknowledgment, project status and response on queries Help customers in enhancing their product data quality (electrical, mechanical, electronics) from the technical specification and description perspective Provide technical consulting to the customer category managers around the industry best practices of product data enhancement Technical and Functional Skills: Bachelors Degree in Engineering from Electrical, Mechanical OR Electronics stream Excellent technical knowledge of engineering products (Pumps, motors, HVAC, Plumbing, etc.) and technical specifications Intermediate knowledge of MS Office/Internet.

About The Role We are seeking a detail-oriented and proactive Data Quality & Configuration Analyst to support and enhance our ERP , SAP , and ITSM systems. The ideal candidate will be responsible for managing data quality , BOM configuration , and ensuring compliance with regulatory frameworks and internal controls . This role involves close collaboration with IT support , logistics , production control , and quality management teams. Key Responsibilities: Maintain and improve data quality standards across ERP and SAP systems. Configure and manage BOM (Bill of Materials) and master data in alignment with business and regulatory requirements. Support SAP parameterization , SAP support , and ServiceNow-based ITSM processes . Ensure data consistency and integrity across logistics , production , and transportation modules. Collaborate with business process management (BPM) teams to align data with operational workflows. Monitor and enforce regulatory compliance , internal control , and conformity control standards. Participate in data audits , issue resolution , and problem management . Provide IT support for data-related issues and contribute to continuous improvement initiatives. Required Skills & Qualifications: Bachelors degree in Information Technology , Business Administration , or a related field. 2-4 years of experience in data management , ERP/SAP configuration , or IT support . Hands-on experience with: SAP (parameterization, support) ERP systems ServiceNow or other ITSM tools BOM and master data configuration Strong understanding of data quality , data standards , and regulatory frameworks . Excellent problem-solving, communication, and documentation skills. Preferred Qualifications: Experience in logistics , production control , or quality management environments. Familiarity with BPM tools , conformity control , and operational management practices. Knowledge of metrology or data governance frameworks is a plus.

What will you do: Lead cross-functional initiatives to enhance data accuracy, timeliness, and consistency in sales and renewals datasets, enabling high-impact sales planning, forecasting, and performance measurement Design and implement validation rules, pipeline reconciliation dashboards, and automated checks to ensure accounting-grade data integrity Enforce submission calendars, lead daily health checks, and establish monthly and quarterly lock processes to maintain trusted, auditable data workflows Standardize definitions, renewals classifications, and business rules through collaborative reviews across GTM, Finance, and Sales Deliver daily dashboards and reports to surface anomalies, drive stakeholder awareness, and improve data visibility Drive digitization of manual processes to reduce inefficiencies and enhance automation and operational scalability Maintain governance standards by ensuring compliance with accounting and audit requirements via proactive lock and review processes Curate and validate sales opportunity and renewals data for use in incentives, quota modeling, territory planning, and forecast accuracy improvements Analyze historical and in-quarter performance to identify gaps in renewal-at-par, upsell/downsell, and partial renewal performance. Partner with dashboard and reporting teams to develop trusted KPIs and scalable tools supporting renewals planning, attainment, and performance Serve as a subject matter expert for renewals enablement, ensuring alignment on data use cases, reporting expectations, and lock governance timelines What will you bring: 10+ years of experience in data analytics, business intelligence, or sales operations, with a strong focus on renewals, incentives, and data governance in a technology sales environment Demonstrated ability to lead data validation frameworks and build business-ready datasets to support strategic planning and forecasting In-depth understanding of sales and renewals lifecycle, territory planning, and incentive modeling Proficiency in analytics and data tools (e.g., SQL, Python, R) and data visualization platforms (e.g., Tableau, Looker, Power BI) Strong command of Google Sheets, automation tools, and experience delivering scalable dashboards Experience designing or contributing to monthly/quarterly data lock processes, audit-compliant reporting, and cross-functional data alignment Excellent communication and collaboration skills; ability to influence across technical and non-technical teams Bachelors degree in Data Science, Statistics, Economics, or related field (Masters preferred)

data migration, data integration, data management one full-cycle data migration for a major ERP, HCM, or CRM implementation ERP platforms such as SAP, Oracle, BAAN data modelling, master data management (MDM), and data governance.(Good to have )

Work with key stakeholders and a cross-functional team to define product requirements, manage new product releases, including all product launch deliverables Work closely with Development and UX teams on functional definition and delivery Work with sales and partners to strengthen the Defender Storage Protect offerings Participating in defining product strategy and roadmap management Develop and coordinate enablement assets for sales and partners Work with industry analysts, partners, and customers to gather and validate market requirements, understand pain points, address RFEs, and evangelizing the product roadmap and vision Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Successful candidates will have 10 years of industry experience with a minimum of 3 years in Product management experience with a successful track record of shipping market leading products and deep domain expertise in data protection, data governance or data security. A minimum of 3 years of experience in Product Management. Experience working with UX and Development in an agile environment Preferred technical and professional experience Experience in Data Protection and Disaster Recovery Experience in Data Security and Governance, Enterprise Storage

Job Title - GenAI + Consultant S&C GN/Software & Platforms Management Level :9 Consultant Location:Bangalore/ Gurgaon / Hyderabad Experience: Minimum 3-6 year(s) of professional experience with at least 2 years in Data/AI/GenAI consulting Demonstrated leadership in delivering AI/ML solutions across the lifecycle (strategy to implementation) Experience working with large technology firms, consulting firms, or hyperscalers is highly preferred Prior experience mentoring and growing high-performing consulting teams Job Summary : We are seeking a Analyst to join our rapidly growing AI/GenAI capabilities within the Software & Platform industry group. The ideal candidate will be passionate about driving business transformation through artificial intelligence, with a strong foundation in Generative AI technologies and a strategic consulting mindset. In this role, you will lead high-impact engagements, shape AI strategies for clients, and contribute to the team. This is a unique opportunity to influence AI adoption across global tech enterprises and help build future-ready capabilities. Roles & Responsibilities: Define business cases, transformation roadmaps, and target operating models Advise CXOs and senior executives on leveraging AI for innovation and efficiency Architect scalable GenAI solutions and oversee their development and integration Stay ahead of AI/GenAI trends and translate them into actionable consulting offerings Collaborate with cross-functional teams including data scientists, engineers, and industry experts Must have skills: Proven expertise in Data & AI strategy, architecture, and implementation Hands-on experience with Generative AI technologies (e.g., GPT, LLMs, diffusion models) Strong business acumen with the ability to translate AI solutions into tangible business value Track record of managing complex client engagements end-to-end Proficiency in cloud platforms (AWS, Azure, or GCP) with focus on AI/ML services Deep knowledge of data governance, ethics, and responsible AI practices Good to have skills: Experience in AI product development or building proprietary AI assets/IP Familiarity with MLOps and scalable deployment of AI models Prior experience in technology consulting or advisory roles Understanding of industry-specific AI use cases in software, hardware, or platforms Certifications in cloud or AI/ML technologies (e.g., AWS Certified Machine Learning, Microsoft Azure AI Engineer) Additional Information: This role offers exposure to cutting-edge AI/GenAI projects with global Fortune 500 technology clients Travel may be required based on client engagements Hybrid work model with flexibility based on project needs Opportunities to shape the firms AI service offerings and thought leadership initiatives About Our Company | Accenture (do not remove the hyperlink) Qualification Educational Qualification: B.Tech/BE + MBA (top-tier institutes)

Job Title - GenAI + Senior Manager/ S&C GN/Software & Platforms Management Level :06 Senior Manager Location:Bangalore/ Gurgaon / Hyderabad Experience: Minimum 10 + year(s) of professional experience with at least 4-6 years in Data/AI/GenAI consulting Demonstrated leadership in delivering AI/ML solutions across the lifecycle (strategy to implementation) Experience working with large technology firms, consultancies, or hyperscalers is highly preferred Prior experience mentoring and growing high-performing consulting teams Job Summary : We are seeking a seasoned Manager / Senior Manager to join our rapidly growing AI/GenAI capabilities within the Software & Platform industry group. The ideal candidate will be passionate about driving business transformation through artificial intelligence, with a strong foundation in Generative AI technologies and a strategic consulting mindset. In this role, you will lead high-impact engagements, shape AI strategies for clients, and contribute to thought leadership in one of the most dynamic areas of innovation. This is a unique opportunity to influence AI adoption across global tech enterprises and help build future-ready capabilities. Roles & Responsibilities: Lead client engagements to design, develop, and implement AI/ML and GenAI strategies Define business cases, transformation roadmaps, and target operating models Advise CXOs and senior executives on leveraging AI for innovation and efficiency Architect scalable GenAI solutions and oversee their development and integration Stay ahead of AI/GenAI trends and translate them into actionable consulting offerings Collaborate with cross-functional teams including data scientists, engineers, and industry experts Contribute to business development through proposals, client presentations, and RFP responses Mentor junior team members and build capability within the Data & AI practice Represent the firm at industry forums and contribute to whitepapers and PoVs Must have skills: Proven expertise in Data & AI strategy, architecture, and implementation Hands-on experience with Generative AI technologies (e.g., GPT, LLMs, diffusion models) Strong business acumen with the ability to translate AI solutions into tangible business value Track record of managing complex client engagements end-to-end Proficiency in cloud platforms (AWS, Azure, or GCP) with focus on AI/ML services Deep knowledge of data governance, ethics, and responsible AI practices Excellent stakeholder management and communication skills (C-level and technical teams) Strong project leadership and team management capabilities Good to have skills: Experience in AI product development or building proprietary AI assets/IP Familiarity with MLOps and scalable deployment of AI models Prior experience in technology consulting or advisory roles Understanding of industry-specific AI use cases in software, hardware, or platforms Certifications in cloud or AI/ML technologies (e.g., AWS Certified Machine Learning, Microsoft Azure AI Engineer) Additional Information: This role offers exposure to cutting-edge AI/GenAI projects with global Fortune 500 technology clients Travel may be required based on client engagements Hybrid work model with flexibility based on project needs Opportunities to shape the firms AI service offerings and thought leadership initiatives About Our Company | Accenture (do not remove the hyperlink) Qualification Educational Qualification: B.Tech/BE + MBA (top-tier institutes)

Project Role : Data Management Practitioner Project Role Description : Maintain the quality and compliance of an organizations data assets. Design and implement data strategies, ensuring data integrity and enforcing governance policies. Establish protocols to handle data, safeguard sensitive information, and optimize data usage within the organization. Design and advise on data quality rules and set up effective data compliance policies. Must have skills : Data Visualization Good to have skills : Oracle Procedural Language Extensions to SQL (PLSQL), Python (Programming Language), Microsoft Power Business Intelligence (BI)Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Management Practitioner, you will maintain the quality and compliance of an organization's data assets. Your typical day will involve designing and implementing data strategies that ensure data integrity while enforcing governance policies. You will establish protocols to handle data, safeguard sensitive information, and optimize data usage within the organization. Additionally, you will design and advise on data quality rules and set up effective data compliance policies, ensuring that the organization adheres to best practices in data management. Roles & Responsibilities:- 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.- Facilitate training sessions to enhance team members' understanding of data governance and compliance.- Monitor and evaluate data management processes to identify areas for improvement. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Visualization, Microsoft Power Business Intelligence (BI), Oracle Procedural Language Extensions to SQL (PLSQL), Python (Programming Language).- Good To Have Skills: Experience with Microsoft Power Business Intelligence (BI), Oracle Procedural Language Extensions to SQL (PLSQL), Python (Programming Language).- Strong understanding of data governance frameworks and best practices.- Experience in developing and implementing data quality metrics and dashboards.- Proficiency in data analysis and reporting tools to derive insights from data. Additional Information:- The candidate should have minimum 7.5 years of experience in Data Visualization.- This position is based in Kolkata.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Architect Project Role Description : Define the data requirements and structure for the application. Model and design the application data structure, storage and integration. Must have skills : Snowflake Data Warehouse, Data Engineering, GEN AI Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Snowflake Architect, you will be responsible for designing robust, secure, and high-performing Snowflake environments while enabling and optimizing real-time analytics pipelines. You will assist in facilitating impact assessment efforts and in producing and reviewing estimates for client work requests. Your typical day will involve collaborating with cross-functional teams, analyzing requirements, designing application architecture, and providing technical guidance to ensure the successful delivery of projects. As a core contributor to the CoE, you will collaborate closely on presales, support delivery teams, and lead the design and execution of POVs and POCs including GenAI features. Roles & Responsibilities: Project Role :Snowflake Senior Solution Architect Project Role Description :Architects end-to-end Snowflake solutions, including modeling, optimization, and security. Leads CoE initiatives by creating guidelines, frameworks, and reference architectures to ensure consistency and scalability across projects- Expected to be a SME in Snowflake with deep knowledge and experience. Collaborate with vendors to align solutions, drive CoE initiatives.- Design and implement enterprise-grade Snowflake solutions across data ingestion, storage, transformation, and access.- Create and maintain reference architectures, accelerators, design patterns, and solution blueprints for repeatability.- Track and evangelize Snowflake's latest features, and assess their potential for client impact and internal innovation.- Lead capability growth initiatives by mentoring team members, driving POCs, and contributing to knowledge repositories.- Provide pre-sales support, including proposal creation, estimations, solutioning, and client presentations.- Define data modeling standards, physical schema designs, and best practices for structured and semi-structured data.- Establish data governance, security models, RBAC, and masking policies in line with compliance standards (e.g., SOC2, HIPAA, GDPR).- Possesses in-depth knowledge of Snowflakes advanced features, including Snowpark, Iceberg tables, dynamic tables, snowpipe streaming, SPCS, authentication & authorization methods, alerts, performance tuning, row level security, masking, tagging, etc.- Stay abreast of evolving Snowflake and GenAI capabilities; recommend and pilot new tools and frameworks.- Collaborate with AI/ML teams to enable GenAI use cases leveraging Snowflakes native capabilities (e.g., Cortex-AI, Streamlit apps, LLM models, Agentic-AI framework).- Design & solution the Gen-AI based workloads which are cost efficient and performant.- Have a complete understanding of Cortex analyst, Document AI, Cortex Search, LLM functions and their key use cases. Professional & Technical Skills: - Must To Have Skills: Proficiency in Snowflake Data Warehouse, Any SnowPro Advanced Certification(must).Must have skills :Snowflake Data Warehouse with GenAI Good to have skills :dbt, Fivetran- Experience or Knowledge of building or integrating Generative AI applications and experience with Snowflake Cortex.- Strong communication and solution architecture skills with the ability to bridge technical and business discussions.- Should have Influencing and Advisory skills.- Responsible for team decisions. Additional Information:- The candidate should have a minimum of 15 years of experience in Snowflake Data Warehouse.- This position is . Qualification 15 years full time education

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to refine and enhance the overall data architecture strategy. You will be involved in various stages of the data platform lifecycle, ensuring that all components work harmoniously to support the organization's data needs and objectives. Roles & Responsibilities:- 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.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor and evaluate team performance to ensure alignment with project goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of data integration techniques and best practices.- Experience with cloud-based data solutions and architectures.- Familiarity with data governance and compliance standards.- Ability to troubleshoot and optimize data workflows for efficiency. Additional Information:- The candidate should have minimum 7.5 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Software Development Engineer Project Role Description : Analyze, design, code and test multiple components of application code across one or more clients. Perform maintenance, enhancements and/or development work. Must have skills : Stibo Product Master Data Management Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Software Development Engineer, you will engage in a dynamic work environment where you will analyze, design, code, and test various components of application code for multiple clients. Your day will involve collaborating with team members to perform maintenance and enhancements, ensuring that the applications meet the evolving needs of users while adhering to best practices in software development. Roles & Responsibilities:- 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.- Mentor junior team members to enhance their skills and knowledge.- Continuously evaluate and improve development processes to increase efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Stibo Product Master Data Management.- Strong understanding of data modeling and data governance principles.- Experience with application development frameworks and methodologies.- Familiarity with integration techniques and tools for master data management.- Ability to troubleshoot and resolve technical issues effectively. Additional Information:- The candidate should have minimum 5 years of experience in Stibo Product Master Data Management.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Modeler Project Role Description : Work with key business representatives, data owners, end users, application designers and data architects to model current and new data. Must have skills : Data Modeling Techniques and Methodologies Good to have skills : Oracle Procedural Language Extensions to SQL (PLSQL), Performance Measurement Analysis and Improvement, Snowflake Data WarehouseMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Modeler, you will engage with key business representatives, data owners, end users, application designers, and data architects to model both current and new data. Your typical day will involve collaborating with various stakeholders to understand their data needs, analyzing existing data structures, and designing effective data models that support business objectives. You will also be responsible for ensuring that the data models align with best practices and methodologies, facilitating discussions to gather requirements, and providing insights that drive data-driven decision-making across the organization. Roles & Responsibilities:- 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.- Facilitate workshops and meetings to gather requirements and feedback from stakeholders.- Develop and maintain comprehensive documentation of data models and methodologies. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Modeling Techniques and Methodologies.- Good To Have Skills: Experience with Performance Measurement Analysis and Improvement, Snowflake Data Warehouse, Oracle Procedural Language Extensions to SQL (PLSQL).- Strong understanding of data governance principles and practices.- Experience with data integration techniques and tools.- Familiarity with database management systems and data warehousing concepts. Additional Information:- The candidate should have minimum 7.5 years of experience in Data Modeling Techniques and Methodologies.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various stakeholders to gather requirements, overseeing the development process, and ensuring that the applications meet the specified needs. You will also be responsible for troubleshooting issues and providing guidance to team members, fostering a collaborative environment that encourages innovation and efficiency in application development. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Facilitate knowledge sharing sessions to enhance team capabilities.- Mentor junior team members to support their professional growth. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of data integration and ETL processes.- Experience with cloud computing platforms and services.- Familiarity with data governance and compliance standards.- Ability to work with large datasets and perform data analysis.- Must have Experience in Microsoft Azure is mandatory Additional Information:- The candidate should have minimum 3 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with various teams to understand their needs, developing innovative solutions, and ensuring that applications are aligned with business objectives. You will engage in problem-solving activities, manage project timelines, and contribute to the overall success of application development initiatives. Roles & Responsibilities:- 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.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure alignment with business goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of data integration and ETL processes.- Experience with cloud computing platforms and services.- Familiarity with data governance and compliance standards.- Ability to work with large datasets and perform data analysis. Additional Information:- The candidate should have minimum 7.5 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Data Modeling Techniques and Methodologies Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure that application development aligns with business objectives, overseeing project timelines, and facilitating communication among stakeholders to drive project success. You will also engage in problem-solving activities, providing guidance and support to your team while ensuring that best practices are followed throughout the development process. Roles & Responsibilities:- 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.- Mentor junior team members to enhance their skills and knowledge.- Continuously assess and improve team processes to increase efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Modeling Techniques and Methodologies.- Strong understanding of database design principles and data architecture.- Experience with data integration and ETL processes.- Familiarity with data governance and data quality frameworks.- Ability to analyze complex data sets and derive actionable insights. Additional Information:- The candidate should have minimum 7.5 years of experience in Data Modeling Techniques and Methodologies.- This position is based in Mumbai.- A 15 years full time education is required. Qualification 15 years full time education