69 Data Strategy Jobs - Page 3

Embark on a transformative journey as Data Strategy Analyst at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unapparelled customer experiences. The Data Strategy Team within Credit and Data Analytics (CDA) is in a long-term program to migrate data and analysis from on premise tools and platforms (SAS, Oracle, etc) to AWS with world class analysis using more modern tools, platforms and data (AWS, Databricks, Git, Python, etc). As part of this journey, Data Strategy works closely with both business units and Tech resources to craft the narrative of what the migration will look like and then validates that it was done successfully. To be successful in this role as a Data Strategy Analyst, you should possess the following skillsets: 1.Technical skills consistent with performing the following functions: Use Python and various packages for the exploration of data within AWS/Athena environment. Read and potentially convert SAS scripts to Python recognize data usage in SAS and be able to migrate the data steps into Python/Pyspark for analysis. Manage code and processes with version control platforms like Git, BitBucket and potentially GitHub. 2.Communication skills as both the receiver of requests and the provider of results. Must be able to take relevant direction on a request and translate that into an approach for the analysis that drives to the right results. Must be able to compile results and provide to business teams in a meaningful manner to deliver value and drive insight to whether data migration is successful. 3.Data Quality concepts to understand what makes data valid and how to assess it. Provide insight to Tech for standardized validation of data transformation. Collaborate with business teams to understand what good data” means to them and translate this into requirements. Some other highly valued skills include: Team collaboration – the Data Strategy team is highly collaborative and each member provides input and insight for weekly meetings, monthly business reviews and other product/process sharing endeavors. You will also be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills. This role is based in our Noida office.

Mandatory Skills: Data Model Design, ER-diagram, Data Warehouse, Data Strategy, Hands on experience in Design and Architecture for enterprise data application. Good to have: Python, PySpark, Databricks, Azure Services(ADLS, ADF, ADB) Good communication and Problem-solving skills. Some understanding on CPG domain.

Essential Experience and Job Requirements: 15+ years of experience in data-related disciplines such as MDM, data governance, data quality, and data cleansing. Expert knowledge of data mastering concepts, process ownership, data policies, and controls. Proven experience implementing MDM processes, policies, and procedures in complex, multinational organizations. Deep knowledge of SAP MDG, ERP, and associated data structures. Experience driving large, multi-year transformational change across multiple geographies and data domains. Strong leadership qualities to steer the team and provide strategic direction. Ability to influence senior stakeholders and secure sponsorship for the data transformation agenda. Excellent soft skills: active listening, communication, collaboration, presentation, problem-solving, team management, and stakeholder management. Project management skills and domain knowledge in Procurement, Finance, Customer, business acumen, critical thinking, and storytelling. Up-to-date with industry trends, best practices, and emerging technologies in data management and analytics. Role Objectives: Document the data strategy for finance. Convert the existing strawman into a formal strategy document. Identify a highly experienced and capable resource to join the team. Define the future direction for finance data and its impact on the organization. Detail the organizational structure and its interaction with other units. Define data quality measures and data structures. Develop data models and explain their usage. Explain the role of AI/ML and analytics in data management. Create a detailed implementation roadmap. Participate in and drive conversations with VPs and AVPs to socialize the data strategy. Additional Requirements: Ensure candidates have 12+ years of experience across data disciplines such as asset management, MDM, data quality, and analytics. Prefer candidates with experience in writing data strategies. Require excellent conversation and communication skills. Candidates must be highly knowledgeable in data strategy and finance. EXPERTISE AND QUALIFICATIONS Client is seeking an experienced Master Data Management (MDM) Strategy Lead to drive the development and implementation of a comprehensive finance master data strategy. This role will play a crucial part in transforming our data management practices, ensuring data quality, and optimizing data processes across the organization.

GN - SONG - MT - CDP - Senior Manager Management Level: 6-Senior Manager Location: Gurugram Must-have skills: Adobe Real-Time CDP Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. The key responsibilities as Customer Data Platform Senior Manager will include the following: Conduct assessment of clients current data management and Customer Data Platform (CDP) capabilities. Provide recommendations on optimizing the current stack and develop use cases to improve utilization. Gather business requirement and strategize and build clients digital marketing data management program that delivers high performance profiles for segmentation, personalization & activation across Digital channels. Identify different data sources, approaches to enrich customer profiles/segments in CDP (customer data platforms) and define use cases across multiple channels/destinations. Design Data cleaning, transformation, and integration approach from various data sources into CDP. Evaluate and recommend new ways of data management through CDP and how it connects into the broader marketing technology landscape (campaign management and insight generation). Identify, scope and partner with technology solution providers, clients IT, BU teams, compliance, and marketing agencies to deliver the best solution meeting the needs of our clients. Plan, design, implement & integrate CDP solutions such as Adobe Experience Platform RT CDP and work with partners to leverage various data management capabilities offered these solutions. Understand and convey the impact of regulations like CCPA, GDPR and clients own internal or industry regulation on data gathering and management. Should be able to guide towards privacy by design, consent management for customer profile activation across digital marketing channels. Understand and design integrations (including API based/ file-based integrations) b/w tools/platforms of different vendors/ MarTech/AdTech components/ data sources. Stay abreast of MarTech landscape & engage ecosystem players/vendors to ensure best in class digital audience management capabilities for clients. Propose and conduct pilots as needed. Develop and manage a team of CDP specialists by managing key tasks such as work allocation, time management, project SME support, hiring, training etc. Aside from client delivery, the selected candidate will also drive business development efforts and thought leadership in the Martech, CDP and other digital marketing platform space. Key Skills: Excellent oral and written communication skills Creating and maintaining client relationships Strong understanding of Marketing processes, data management, data strategy, data integration, marketing & Advertising technologies and their integrations with other technologies Partner with technology solution providers and marketing agencies to deliver the best solution meeting the needs of our clients. Strong project management skills:ability to mobilize and organize across multiple stakeholders (client and internal) and projects. In addition to e xcel at the role , you will also need to have An ability to work with the leadership to support business development and thought leadership. Data-driven mindset within proven utilization of information to drive decisions, calibrate and results. Strong communication and presentation skills to share the perfect pitch with key stakeholders. Strong client handling skills to develop, manage and deepen relationships with key stakeholders. Team building skills to collaborate, work and motivate teams with diverse skills and experience to achieve goals. Ability to work effectively in a remote, virtual, global environment. Ability to work in a fast paced and unstructured environment. Ability to learn new and understand new tools/solutions. Identify new opportunities, develop solutions and own proposals end to end. Contribute to offering development skills to identify areas of growth related to specific skills, platforms, assets etc. that contribute to enhancing the offering. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Profile & segmentation:Experience building Data management platform capability preferably with tools like Adobe Audience Manager to generate profiles & segments for onsite and paid media activation. Data Partnerships:Identify and build capabilities that enable access to 2nd as well as 3rd party data for activation. This may typically include building secure 2nd party data exchange and activation capabilities, partnership automation platforms, etc. Analytics & Insights:Experience with CDP inbuilt analytics and modelling capabilities to drive insights/ enriched profiles. Experience of integrating external model outputs into the CDPs. MarTech ecosystem:Able to guide and deliver integration of customer profiles and segmentation across MarTech tools like SFMC, Google 360, Adobe Marketing cloud, Real time interaction management tool, Sprinklr for social media, etc. to build end to end customer focused MarTech stack. Experience in ad tech & web/app analytics & their implementations such as cross device and omnichannel consumer experience, paid media (E.g. DSPs, Google, FB etc.) and owned media platform integrations, web/app analytics tools, Omniture, campaign tracking & attribution tools, firebase, Appsflyer also beneficial. Working knowledge of ad serving tools, programmatic channels, tag management platforms (GTM, Launch, Tealium etc.) Experience working with Ads data hub, ad platforms and their API' s i.e., Google API, Facebook conversion API etc. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. Qualification Experience: 14 to 16 Years Educational Qualification: Minimum 15 Years of Education

Role Overview: As the ED, Data & Analytics Strategy, you will lead the teams that owns the products and the underlying technologies, platforms and infrastructure through its entire lifecycle. You are an expert in D&A technologies and business processes who enables and deeply understands stakeholders and their needs. You will set the product vision, roadmaps, and strategy, ensuring value and user experience are measured and achieved. What will you do in this role: You will lead and execute the organizations IT data strategy, ensuring alignment with IT financial goals and operational efficiency and alignment with the enterprise data strategy You will be responsible for overseeing the governance of the IT data domain and it s critical sub-domains, enabling a strong data stewardship culture, and leveraging data analytics for continuous improvement. You will lead and maintain the data governance model and governance framework, including councils and committees, to oversee critical IT data domains and ensure accountability at all levels. You will lead initiatives that promote data stewardship, enabling sub-domain owners to ensure data accuracy, accountability, and timely delivery of IT Data. You will establish and manage a skilled engineering and delivery team with clear roles and accountabilities to deliver and manage the underlying technologies, platform and integrated data layer that will deliver the IT Data outcomes, including ongoing overall production vision and strategy You will establish strong partnerships with critical stakeholders such as Enterprise Architecture, IT Data sub domain leaders, IT Finance, and Business of IT teams to ensure the integration of data strategy with broader IT initiatives. You will make product decisions, ensuring alignment with the product strategy. Be the chief advocate within the wider organization for products to drive adoption, fantastic user experience, and value realization. Guide the team in developing and regularly calibrating product metrics. Drive continuous product discovery to understand user needs and translate them into solutions and a product backlog. Lead the team to drive release and support planning and execution (go to market). Manage multiple teams of technology professionals, promoting career development and continuous upskilling of talent in order to build incredible teams and the ecosystem to empower them. Monitor and optimize the products total cost of ownership (TCO). As the senior most leader for the CTO group, you will develop a strong executive external presence and strong internal networks to recruit highly skilled and diverse talent across the needs of the CTO organization, stay current with industry trends, and establish effective vendor partnership. What Should you have: You have a bachelors degree in information management, computer science, or technology and at least 15+ years of experience in Data & Analytics technologies, product management and IT leadership roles in complex matrix environments. You are proficient in asset, product, requirement, and stakeholder relationship management. +10 years of hands-on experience of data management and governance experience +10 years of hands-on experience and expertise in cloud environments and data & analytics technologies. +10 years hands on experience in leading, managing and driving large D&A teams focused on strong services, products, platform and technology delivery inclusive of product/solution engineering, solution architects, platform engineering, platform administration and support teams. Subject Matter Expert and a leader who guides teams on system designs and management system development. You have a demonstrated ability in innovation, influence, and strategic planning with outstanding interpersonal and communication skills. You are a pro in working with colleagues from diverse disciplines and at all levels in the company, articulating complex technical topics at the right level of detail for specific audiences. You have strong quantitative skills and the ability to use data and metrics to inform decisions and drive continuous improvement.

Exciting opportunity for a Data Strategy professional to join a leading Asset Management team. This role involves driving data strategy initiatives, managing cross-functional projects, and partnering with stakeholders to deliver high-impact data solutions aligned with business objectives. Location : PAN India Your Future Employer Our client is a globally recognized financial services firm known for its strong Asset Management capabilities. They offer a collaborative environment, a strategic outlook, and the opportunity to contribute to data-driven transformation initiatives. Responsibilities Define and lead data strategy initiatives across asset management functions Manage end-to-end delivery of data and reporting projects Collaborate with stakeholders to build project roadmaps and define business goals Leverage third-party tools such as Aladdin for risk and portfolio data Use visualization tools to translate insights into actionable dashboards Ensure alignment with data governance and compliance frameworks Coordinate with cross-functional teams to drive project execution Requirements Postgraduate degree in Finance or related field from a reputed institution 810 years of experience in data strategy or business analysis within financial services Strong knowledge of asset management processes and data flows Experience with third-party data tools (Aladdin preferred) Proficiency in visualization tools like Power BI or Tableau Strong project management and client-facing communication skills Strategic mindset with ability to align business needs with technical execution Whats in it for you Competitive compensation and benefits Opportunity to work with global asset management teams Exposure to strategic, high-impact projects Collaborative and growth-oriented work environment Leadership visibility and client-facing responsibilities

Goldman Sachs Internal Auditors demonstrate a strong risk, control and analytical mindset, exercise professional skepticism and challenge status quo on risks and control measures effectively with management. We look for individuals who enjoy learning about audit, businesses, and processes, have innovative and creative mindset in adapting analytical techniques to enhance audit function, develop teamwork and build relationships and are able to evolve and thrive in a fast-paced global environment. Embedded - Data Analytics In Internal Audit, we ensure that Goldman Sachs maintains effective controls by assessing the reliability of financial reports, monitoring the firm s compliance with laws and regulations, and advising management on developing smart control solutions. Embed Data Analytics team leverages its programming and analytical capabilities to build innovative data driven solutions. The team works closely with auditors to understand their pain points and develop data-centric solutions to address the same. Your Impact As part of the third line of defense, you will be involved in independently assessing the firm s overall control environment and its effectiveness as it relates to current and emerging risks and communicating the results to local/ global management. In doing so, you will be supporting the provision of independent, objective and timely assurance around the firm s internal control structure, thereby supporting the Audit Committee, Board of Directors and Risk Committee in fulfilling their oversight responsibilities. We are looking for a strong data scientist, passionate about using data to challenge the norm, to join our Embed Data Analytics team. The candidate will work closely with the audit teams to build innovative and reusable analytical tools that will help make audit testing more efficient and provide meaningful insights into firm s control environment. Responsibilities Execute on DA strategy developed by IA management within the context of audit responsibilities, such as risk assessment, audit planning, creation of reusable tools and providing innovative solutions to complex problems Partner with audit teams to help identify risks associated with businesses and facilitate strategic data sourcing and develop innovative solutions to increase efficiency and effectiveness of audit testing Build production ready analytical tools to automate repeatable and reusable processes within IA Build and manage relationships and communications with Audit team members Basic Qualifications 1-3 years of experience with a minimum of Bachelor s in Computer Science, Math, or Statistics Experience with RDBMS/ SQL Proficiency in programming languages, such as Python, Java, or C++ Knowledge of basic statistics, including descriptive statistics, data distribution models, Time Series Analysis, correlation, and regression, and its application to data Strong team player with excellent communication skills (written and oral). Ability to communicate what is relevant and important in a clear and concise manner and ability to handle multiple tasks Strong contributing member of Data Science team and help build analytical capabilities for Internal Audit Division Driven and motivated and constantly taking initiative to improve performance Preferred Qualifications Experience with advanced data analytics tools and techniques Strong experience in RDBMS/ SQL and Data Warehousing. Exposure to ETL Processes and Data Engineering. Experience in implementing Data Quality measures and entitlement models Familiarity in programming languages such as Python. Strong team player with excellent communication skills (written and oral). Ability to communicate what is relevant and important in a clear and concise manner and ability to handle multiple tasks Self-driven and motivated to take up initiatives to improve our processes.

We are looking for Data Sourcing Manager for AI Market, a professional responsible for identifying, acquiring, and managing datasets required for training and validating AI models. This role is crucial in ensuring that data used is high-quality, diverse, ethically sourced, and aligned with the goals of the AI product or research. Key Responsibilities: Data Strategy & Planning Define data needs based on model objectives (e.g., speech, image, video, text). Plan data collection/sourcing in alignment with business and compliance goals. Vendor & Partner Management Identify and engage third-party vendors, data collection agencies, or open-source providers. Negotiate data licensing, usage rights, and exclusivity terms. Project Management Oversee data collection projects, from setup to delivery. Monitor timelines, budgets, and quality control processes. Compliance & Ethics Ensure data sourcing complies with GDPR, CCPA, and other data privacy regulations. Maintain clear consent and documentation for all personally identifiable or sensitive data. Quality Assurance Implement standards for data quality (accuracy, completeness, labeling consistency). Work with annotation and QA teams to validate data suitability for model training. Cross-functional Collaboration Coordinate with AI engineers, product managers, and legal teams. Understand evolving needs for new data types as models develop. Ideal Background: Experience in AI/ML data workflows. Strong knowledge of data privacy laws. Excellent negotiation and project management skills. Familiarity with tools for data collection, storage, and labeling.

About this role: Wells Fargo is seeking a Software Engineering Manager. We believe in the power of working together because great ideas can come from anyone. Through collaboration, any employee can have an impact and make a difference for the entire company. Explore opportunities with us for a career in a supportive environment where you can learn and grow. In this role, you will: Manage, coach, and develop a team of individual contributor engineer roles with low to moderate complexity and less experienced managers who are responsible for building high quality capabilities with modern technology Ensure adherence to the Banking Platform Architecture, and meeting non-functional requirements with each release Engage with architects and experienced engineers to incorporate Wells Fargo Technology technical strategies, while understanding next generation domain architecture to enable application migration paths to target architecture; for example, cloud readiness, application modernization and data strategy Function as the technical representative for the product during cross-team collaborative efforts and planning Identify and recommend opportunities for driving resolution of technology roadblocks including code, build and deployment while also managing overall software development cycle and security standards Act as an escalation partner for scrum masters and the teams to make decisions and help remove impediments, obstacles, and friction while encouraging constant learning, experimentation, and continual improvement culture Build engineering skills side-by-side in the codebase, conduct peer reviews to evaluate quality and solution alignment to technical direction, and guide design, as needed Interpret, develop, and ensure security, stability, and scalability within functions of technology with low to moderate complexity, as well as identify, manage and mitigate technology and enterprise risk Collaborate and consult with the Product Managers/Product Owners to drive user satisfaction, influence technology requirements and priorities in the product roadmap, promote innovative and intelligent solutions, generate corporate value and articulate technical strategy while being a solid advocate of agile and DevOps practices Interact directly with third party vendors and technology service providers Manage allocation of people and financial resources for technology engineering including career development and performance management for engineers and managers on the team Hire, mentor and guide talent development of direct reports to build the skills required to effectively design and deliver innovative solutions for the supported product areas/products Required Qualifications: 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education 2+ years of Leadership experience Desired Qualifications: Bachelors in Computer Science or equivalent Exposure to Small Business Banking domain.

ABOUT THE ROLE Role Description: We are seeking a Senior Data Engineering Manager with a strong background in Regulatory or Integrated Product Teams within the Biotech or Pharmaceutical domain. This role will lead the end-to-end data strategy and execution for regulatory product submissions, lifecycle management, and compliance reporting, ensuring timely and accurate delivery of regulatory data assets across global markets. You will be embedded in a cross-functional Regulatory Integrated Product Team (IPT) and serve as the data and technology lead, driving integration between scientific, regulatory, and engineering functions to support submission-ready data and regulatory intelligence solutions. Roles & Responsibilities: Functional Skills: Lead the engineering strategy and implementation for end-to-end regulatory operations, including data ingestion, transformation, integration, and delivery across regulatory systems. Serve as the data engineering SME in the Integrated Product Team (IPT) to support regulatory submissions, agency interactions, and lifecycle updates. Collaborate with global regulatory affairs, clinical, CMC, quality, safety, and IT teams to gather submission data requirements and translate them into data engineering solutions. Manage and oversee the development of data pipelines, data models, and metadata frameworks that support submission data standards (e.g., eCTD, IDMP, SPL, xEVMPD). Enable integration and reporting across regulatory information management systems (RIMS), EDMS, clinical trial systems, and lab data platforms. Implement data governance, lineage, validation, and audit trails for regulatory data workflows, ensuring GxP and regulatory compliance. Guide the development of automation solutions, dashboards, and analytics that improve visibility into submission timelines, data quality, and regulatory KPIs. Ensure interoperability between regulatory data platforms and enterprise data lakes or lakehouses for cross-functional reporting and insights. Collaborate with IT, data governance, and enterprise architecture teams to ensure alignment with overall data strategy and compliance frameworks. Drive innovation by evaluating emerging technologies in data engineering, graph data, knowledge management, and AI for regulatory intelligence. Lead, mentor, and coach a small team of data engineers and analysts, fostering a culture of excellence, innovation, and delivery. Drive Agile and Scaled Agile (SAFe) methodologies, managing sprint backlogs, prioritization, and iterative improvements to enhance team velocity and project delivery. Stay up-to-date with emerging data technologies, industry trends, and best practices, ensuring the organization leverages the latest innovations in data engineering and architecture. Must-Have Skills: 812 years of experience in data engineering or data architecture, with 3+ years in a senior or managerial capacity, preferably within the biotech or pharmaceutical industry. Proven experience supporting regulatory functions, including submissions, tracking, and reporting for FDA, EMA, and other global authorities. Experience with ETL/ELT tools, data pipelines, and cloud-based data platforms (e.g., Databricks, AWS, Azure, or GCP). Familiarity with regulatory standards and data models such as eCTD, IDMP, HL7, CDISC, and xEVMPD. Deep understanding of GxP data compliance, audit requirements, and regulatory submission processes. Experience with tools like Power BI, Tableau, or Qlik for regulatory dashboarding and visualization is a plus. Strong project management, stakeholder communication, and leadership skills, especially in matrixed, cross-functional environments. Ability to translate technical capabilities into regulatory and business outcomes.Prepare team members for stakeholder discussions by helping assess data costs, access requirements, dependencies, and availability for business scenarios. Good-to-Have Skills: Prior experience working on integrated product teams or regulatory transformation programs. Knowledge of Regulatory Information Management Systems (RIMS), Veeva Vault RIM, or Master Data Management (MDM) in regulated environments. Familiarity with Agile/SAFe methodologies and DevOps/DataOps best practices. Education and Professional Certifications 12 to 15 years of experience in Computer Science, IT or related field Scaled Agile SAFe certification preferred Project Management certifications preferred Soft Skills: Excellent analytical and troubleshooting skills Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills

We are hiring for a leading Insurance Consulting organisation for Data Strategy & Governance role Exp: 4 to 6 yyrs Location : BangalorePune Responsibility: Develop and Drive Data Capability Maturity Assessment, Data & Analytics Operating Model & Data Governance exercises for clients Managing Critical Data Elements (CDEs) and coordinating with Finance Data Stewards Overseeing data quality standards and governance implementation Establish processes around effective data management ensuring Data Quality & Governance standards as well as roles for Data Stewards

What you will do The Product Analyst position offers a unique opportunity to join a fun, innovative engineering team within the Enterprise Data Strategy and Engineering (EDSE) organization. Youll work on building next-generation capabilities and services in Data and AI using innovative open-source software, frameworks, tools, and cloud computing services. The role also emphasizes demonstrating these capabilities to support critical business operations and initiatives, ensuring alignment with organizational priorities. As a Product Analyst, for business performance, you will monitor departments performance looking at various projects and providing the updates. You will get connected with different teams: engineering, product, project management etc. to understand and report the performance. Business Performance reporting: Monitor and track org performance. Help to present and communicate to leadership with weekly, monthly and quarterly reports for performance. Data analysis and Provide insights Help leadership team with insights into gaps and area of improvement for business performance. Stakeholder communications Communicate various updates to leadership and other teams. What we expect of you Masters degree and 7 to 9 years of Information Systems experience OR Bachelors degree and 8 to 11 years of Information Systems experience OR Diploma and 10 to 12 years of Information Systems experience 5-7 years of experience in a business performance role. Basic Qualifications: Understanding of different KPIs/metrics (operational, projects and financials) and ability to track, monitor and report those. Good analytical skills. Proficiency with data tools (e.g. excel, power bi, Tableau etc) Experience in communication and presentation to leadership. Excellent stakeholder management skills. Excellent communication and social skills, with the ability to work collaboratively with different teams. Preferred Qualifications: Ability to work effectively across matrixed organizations and lead in collaboration. Passion for technology and customer success, particularly in driving innovative AI and data solutions. Familiarity with biotech/pharma is beneficial. Soft Skills: Excellent analytical and solving skills. Ability to work effectively with global, virtual teams High degree of initiative and self-motivation. Ability to handle multiple priorities successfully. Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills.

The Data Architecture Specialist Join our team of data architects who design and execute industry-relevant reinventions that allow organizations to realize exceptional business value from technology . Practice: Technology Strategy & Advisory, Capability Network I Areas of Work: Data Architecture | Level:Sr Manager | Location: Bangalore/Mumbai/Pune/Gurugram | Years of Exp: 15 to 21 years Explore an Exciting Career at Accenture Are you a problem solver and passionate about Tech-driven transformation? Do you want to design, build and implement strategies to enhance business architecture performance? Are you passionate about being part of an inclusive, diverse and collaborative culture? Then, this is the right place for you! Welcome to a host of exciting global opportunities in Accenture Technology Strategy & Advisory. The Practice- A Brief Sketch: The team helps clients achieve growth and efficiency through innovative R&D transformation, aimed at redefining business models using agile methodologies. As part of this high performing team, you will work closely with our clients to unlock the value of data, architecture, and AI to drive business agility and transformation to a real-time enterprise. A s a leading Data Architecture Consulting professional, you will work on the following areas: Business Problem Data Analysis :Identifying, assessing, and solving complex business problems using in-depth evaluation of variable factors. Technology-driven journey intersection :Helping clients design, architect and scale their journey to new technology-driven growth. Architecture Transformation :Helping solve key business problems by enabling an architecture transformation, from the current state to a "to-be" enterprise environment. High Performance Growth and Innovation :Assisting our clients to build the required capabilities for growth and innovation to sustain high performance. Bring your best skills forward to excel at the role: Present data strate gy and develop technology solutions and value adding propositions to drive C-suite/senior leadership level discussions Capitalize on in-depth understanding of the latest technologies such as big data, data integration, data governance, data quality, cloud platforms, data modelling tools, data warehouse and hosting environments. Lead proof of concept and/or pilot implementations and defining the plan to scale implementations across multiple technology domains Maximize subject matter expertise on data-led projects and play a key role in pitches where data-based RFP responses are discussed Demonstrate ability to work creatively and analytically in a problem-solving environment. Use knowledge of key value drivers of a business , how they impact the scope and approach of the engagement. Develop client handling skills to develop, manage and deepen relationships with key stakeholders Leverage team building skills to collaborate, work and motivate teams with diverse skills and experience to achieve goals Build on leadership skills along with strong communication, problem solving, organizational and delegation skills to nurture and inspire team members Qualifications Your experience counts! MBA from a tier 1 institute Your prior experience in one or more of the following is important Assessment of Information Strategy Maturity and evaluation of new IT potential with a focus on data monetization, platforms, customer 360 view and analytics strategy. Defining data-based strategy and establishing to-be Information Architecture landscape Design of cutting-edge solutions using cloud platforms like AWS, Azure, GCP, etc. and conceptualization of Data models Establish framework for effective Data Governance and define data ownership, standards, policies, and associated processes Product/ Framework/ Tools evaluation: Collaborating with business experts for business understanding, work with other consultants and platform engineers for solutions and with technology teams for prototyping and client implementations. Evaluate existing products and frameworks and develop options for proposed solutions. Practical industry expertise :The areas of Financial Services, Retail, Telecommunications, Life Sciences, Mining and Resources are of interest but experience in equivalent domains is also welcomed. Consultants should understand the key technology trends in their domain and the related business implications

Scale AI-Driven Operations | Build Intelligent Data Systems | Lead with Innovation Are you a forward-thinking leader passionate about harnessing AI to transform data operations at scale? Do you excel at building structured, high-quality data pipelines that power real-world business decisions? If you're looking to take end-to-end ownership of AI-first data workflows in a global SaaS platform, Tracxn is where your vision becomes impact. Location: Bangalore, India (Work from Office) Job Type: Full-time About Tracxn Tracxn is a leading market intelligence platform tracking over millions of private companies globally across industries. Our clients include Venture Capital firms, Private Equity funds, Investment Banks, and Corporates who rely on us for actionable insights and data. As a tech-first company, we are constantly evolving our capabilities in AI and automation to redefine data quality, scale, and delivery. Role Summary As the Head of Data Production using AI, you will own the strategy, execution, and evolution of Tracxns data production engine, with a sharp focus on AI-driven automation, data accuracy, and scalable delivery. This is a mission-critical leadership role where you'll partner closely with Engineering, Product, and Business teams to design workflows that leverage LLMs, NLP, machine learning, and human-in-the-loop systems to produce high-quality structured private market intelligence. We're looking for someone deeply passionate about AI, obsessed with operational scalability, and excited to lead a high-impact team that blends automation with human judgment. Key Responsibilities 1. AI-Driven Data Strategy & Execution Define and lead the roadmap for AI-enabled data production at Tracxn. Build and optimize workflows that combine LLMs, APIs, scraping, and human supervision to extract, clean, enrich, and validate private company data. Collaborate with the AI/ML and engineering teams to integrate cutting-edge tools and models into production workflows. Maintain a high standard of data accuracy, completeness, and freshness. 2. Process & Workflow Optimization Scale structured data pipelines using automation and data augmentation techniques. Identify bottlenecks and apply AI or RPA-based solutions to increase efficiency. Own the design of SOPs, QA processes, and escalation mechanisms across data production. 3. Team Leadership Lead and mentor large in-house data teams (analysts, reviewers, QA, etc.). Define clear KPIs and performance metrics; ensure accountability through dashboards and regular reviews. 4. Collaboration & Stakeholder Management Act as the voice of Data Production in discussions with Product, Engineering, Customer Success, and Sales teams. Translate market and client needs into scalable data initiatives. Communicate key project updates and performance metrics to senior leadership Qualifications & Skills Education: Bachelors degree in Engineering, Data Science, or a related field. MBA or post-grad in technology/analytics preferred. Experience: 5 - 10 years of experience in operations, data strategy, or AI implementation, preferably in a product/tech/data company. Strong understanding of how LLMs, NLP, scraping, and ML models can be applied to automate data workflows. Proven experience in scaling data teams and building high-accuracy operations. Experience with human-in-the-loop systems, QA automation, and production-scale data delivery Why Join Tracxn? Join one of the most exciting data-tech companies building for the global private markets. Lead a strategic function at the intersection of AI and data. High-impact role with complete ownership and visibility. Transparent, performance-driven culture. Work alongside smart, curious peers solving real-world challenges.

Bengaluru [Hybrid 2 days/week] Skill & Experience Mandatory Skills: GenAI Exposure, Data Modelling, Database Development, Data Warehouse Management, Data Strategy Development, End to end Data Architecture, Virtualization and Consumption layer expertise Developing and maintaining data pipelines for efficient data extraction, transformation, and loading (ETL) processes. Designing and optimizing data storage solutions, including data warehouses and data lakes. Ensuring data quality and integrity through data validation, cleansing, and error handling. Collaborating with data analysts, data architects, and software engineers to understand data requirements and deliver relevant data sets (e.g., for business intelligence). Implementing data security measures and access controls to protect sensitive information. Automating and improving data processes and workflows for scalability and efficiency. Monitoring data infrastructure for performance and reliability to address issues promptly. Keeping abreast of industry trends and emerging technologies in data engineering. Documenting data pipelines, processes, and best practices for knowledge sharing. Participating in data governance and compliance efforts to meet regulatory requirements. Providing technical support and mentoring to junior data engineers, if applicable. Continuously optimizing data architecture to support the company's evolving data needs. Collaborating with cross-functional teams to drive data-driven decision-making within the organization.

[Hybrid 2 days/week] Skill & Experience Mandatory Skills: GenAI Exposure, Data Modelling, Database Development, Data Warehouse Management, Data Strategy Development, End to end Data Architecture, Virtualization and Consumption layer expertise Developing and maintaining data pipelines for efficient data extraction, transformation, and loading (ETL) processes. Designing and optimizing data storage solutions, including data warehouses and data lakes. Ensuring data quality and integrity through data validation, cleansing, and error handling. Collaborating with data analysts, data architects, and software engineers to understand data requirements and deliver relevant data sets (e.g., for business intelligence). Implementing data security measures and access controls to protect sensitive information. Automating and improving data processes and workflows for scalability and efficiency. Monitoring data infrastructure for performance and reliability to address issues promptly. Keeping abreast of industry trends and emerging technologies in data engineering. Documenting data pipelines, processes, and best practices for knowledge sharing. Participating in data governance and compliance efforts to meet regulatory requirements. Providing technical support and mentoring to junior data engineers, if applicable. Continuously optimizing data architecture to support the company's evolving data needs. Collaborating with cross-functional teams to drive data-driven decision-making within the organization.

Public Services Industry Data Manager Join our team in Management Consulting for an exciting career opportunity to work on the Industry Strategy agenda of our most strategic clients across the globe! Practice: Industry Strategy, Global Network (GN) Areas of Work: Management Consulting experience in Public Services Industry specifically in the Data Operating Model and Organization Design, Strategic Roadmap Design, Digital Strategy, Data Strategy, Cloud strategy, Data policies, processes, data platforms solutioning, data management & governance, data quality, data insights and analytics Domain:Public Services Social Services, Education, Global Critical Infrastructure Services, Revenue, Post & Parcel Level: Manager Location: India (Gurgaon, Mumbai, Bengaluru, Chennai, Kolkata, Hyderabad & Pune) Years of Exp: 7+ years of strategy experience post MBA from a Tier 1 institute Explore an Exciting Career at Accenture Do you believe in creating an impact? Are you a problem solver who enjoys working on transformative strategies for global clients? Are you passionate about being part of an inclusive, diverse, and collaborative culture? Then, this is the right place for you! Welcome to a host of exciting global opportunities in Accenture Strategy. The Practice- A Brief Sketch: The GN Management Consulting Group is a part of and we help clients with strategies that are at the intersection of business and technology, drive value and impact, shape new businesses & design operating models for the future. As a part of this high performing team, you will: Analyze and perform data profiling to understand data patterns and discrepancies following Data Quality and Data Management processes. 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. Lead Data Engineering efforts / teams working jointly with our nearshore / offshore delivery centers. Work across workstreams to support data requirements including pipelines, reports, and dashboards. Provide services to help clients building the foundation for effective decision making by identifying the critical information needed to run and grow the business, and developing and implementing a strategy and architecture for improving the management, governance and security of that information. Enable organizations to have a single source of the truth for all data , which helps them translate information into action to drive revenue growth, cost efficiency and competitive advantage. Define the data requirements and structure for the application. Model and design the application data structure, storage and integration. Define the rationale, approach, initiatives and roadmap to support compliance with the KSA The National Data Management Office ( NDMO ) framework / GDPR DAMA certification is preferred Build future focused PoV and develop strategic ecosystem partners. Build Client Strategy definition leveraging Disruptive technology solutions, like Data & AI, including Gen AI, and Cloud Build relationships with C-suite executives and be a trusted advisor enabling clients to realize value of human-centered change. Monitor industry trends and keep clients informed of potential opportunities and threats The candidate will be required to have exposure to core-strategy projects in Public Services domain with a focus on one of the sub-industries within the Public Service (mentioned below), specifically: Public Service Experience: The candidate must have strategy experience in at least one of the below Public Service sub- industries: Social Services + (Employment, Pensions, Education, Child welfare, Government as a platform, Digital Citizen Services) o Education Global Critical Infrastructure Services (Urban & city planning, Smart Cities, High Performing City Operating Model) Admin (Citizen experience, Federal Funds Strategy, Workforce Strategy, Intelligent Back Office, Revenue industry strategy, Post & Parcel) Strategy Skills and Mindsets Expected: A Strategic Mindset to shape innovative, fact-based strategies and operating models Communication and Presentation Skills to hold C-Suite influential dialogues, narratives, conversations, and share ideas Ability to solve problems in unstructured scenarios, to decode and solve complex and unstructured business questions Analytical and outcome-driven approach to perform data analyses & generate insights, and application of these insights for strategic insights and outcomes Value Driven Business Acumen to drive actionable outcomes for clients with the latest industry trends, innovations and disruptions, metrics and value drivers Financial Acumen and Value Creation to develop relevant financial models to back up a business case Articulation of strategic and future vision Ability to identify Technology Disruptions in the Public Services industry Qualifications Whats in it for you? An opportunity to work on with key G2000 clients and CxOs Potential to with leaders in strategy, industry experts, enterprise function practitioners and, business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies Ability to embed into everythingfrom how you service your clients to how you operate as a responsible professional Personalized training modules to develop your to grow your skills, industry knowledge and capabilities Opportunity to thrive in a that is committed to accelerate equality for all Engage in boundaryless collaboration across the entire organization About Accenture: Accenture is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations. Combining unmatched experience and specialized skills across more than 40 industries and all business functions underpinned by the worlds largest delivery network Accenture works at the intersection of business and technology to help clients improve their performance and create sustainable value for their stakeholders. With more than 732,000 people serving clients in more than 120 countries, Accenture drives innovation to improve the way the world works and lives. Visit us at About Accenture Strategy & Consulting: Accenture Strategy shapes our clients future, combining deep business insight with the understanding of how technology will impact industry and business models. Our focus on issues such as digital disruption, redefining competitiveness, operating and business models as well as the workforce of the future helps our clients find future value and growth in a digital world. Today, digital is changing the way organizations engage with their employees, business partners, customers and communities. This is our unique differentiator. To bring this global perspective to our clients, Accenture Strategy's services include those provided by our Global Network a distributed management consulting organization that provides management consulting and strategy expertise across the client lifecycle. Our Global Network teams complement our in-country teams to deliver cutting-edge expertise and measurable value to clients all around the world. For more information visit s k | At the heart of every great change is a great human. If you have ideas, ingenuity and a passion for making a difference,

Practice: Strategy & Consulting Global Network Song Are a s of Work: Customer Data Platform, MarTech Level: Senior Manager Location: Mumbai, Bangalore, Gurgaon, Hyderabad, Pune | Years of Exp 12+ years | Qualifications: Master of Business Administration / Post Graduate Diploma in Management, Marketing platform Certifications such as Adobe Experience Platform, Salesforce Marketing Cloud, Tealium Explore an Exciting Career at Accenture Are you passionate about scaling businesses using in-depth frameworks and techniques to solve customer facing challenges? Do you want to design, build, and implement strategies to enhance business performance? Does working in an inclusive and collaborative environment spark your interest? Then, this is the right place for you! Welcome to a host of exciting global opportunities within on Accentures Strategy & Consulting Global Network Song practice. The Practice- A Brief Sketch The practice is aligned to the Global Network Song Practice of Accenture and works with clients across their marketing, sales and services functions. As part of the team, you will provide transformation services driven by key offerings like Marketing, Sales and Service, Commerce. These services help our clients become living businesses by optimizing their marketing, sales and customer service strategy, thereby driving cost reduction, revenue enhancement, customer satisfaction and impacting business metrics in a positive manner. The Customer Data Platform Manager is a mid-level position within the Marketing transformation vertical of Accenture GN Song. The key responsibilities as Customer Data Platform Senior Manager will include the following: Conduct assessment of clients current data management and Customer Data Platform (CDP) capabilities. Provide recommendations on optimizing the current stack and develop use cases to improve utilization. Gather business requirement and strategize and build clients digital marketing data management program that delivers high performance profiles for segmentation, personalization & activation across Digital channels. Identify different data sources, approaches to enrich customer profiles/segments in CDP (customer data platforms) and define use cases across multiple channels/destinations. Design Data cleaning, transformation, and integration approach from various data sources into CDP. Evaluate and recommend new ways of data management through CDP and how it connects into the broader marketing technology landscape (campaign management and insight generation). Identify, scope and partner with technology solution providers, clients IT, BU teams, compliance, and marketing agencies to deliver the best solution meeting the needs of our clients. Plan, design, implement & integrate CDP solutions such as Adobe Experience Platform- RT CDP and work with partners to leverage various data management capabilities offered these solutions. Understand and convey the impact of regulations like CCPA, GDPR and clients own internal or industry regulation on data gathering and management. Should be able to guide towards privacy by design, consent management for customer profile activation across digital marketing channels. Understand and design integrations (including API based/ file-based integrations) b/w tools/platforms of different vendors/ MarTech/AdTech components/ data sources. Stay abreast of MarTech landscape & engage ecosystem players/vendors to ensure best in class digital audience management capabilities for clients. Propose and conduct pilots as needed. Develop and manage a team of CDP specialists by managing key tasks such as work allocation, time management, project SME support, hiring, training etc. Aside from client delivery, the selected candidate will also drive business development efforts and thought leadership in the Martech, CDP and other digital marketing platform space. Key Skills: Excellent oral and written communication skills Creating and maintaining client relationships Strong understanding of Marketing processes, data management, data strategy, data integration, marketing & Advertising technologies and their integrations with other technologies Partner with technology solution providers and marketing agencies to deliver the best solution meeting the needs of our clients. Strong project management skills:ability to mobilize and organize across multiple stakeholders (client and internal) and projects. you will also need to have : An ability to work with the leadership to support business development and thought leadership. Data-driven mindset within proven utilization of information to drive decisions, calibrate and results. Strong communication and presentation skills to share the perfect pitch with key stakeholders. Strong client handling skills to develop, manage and deepen relationships with key stakeholders. Team building skills to collaborate, work and motivate teams with diverse skills and experience to achieve goals. Ability to work effectively in a remote, virtual, global environment. Ability to work in a fast paced and unstructured environment. Ability to learn new and understand new tools/solutions. Identify new opportunities, develop solutions and own proposals end to end. Contribute to offering development skills to identify areas of growth related to specific skills, platforms, assets etc. that contribute to enhancing the offering. Qualifications Proven working experience (8+ Years) in Marketing and digital data management/ audience management with tools like Adobe experience platform (RT CDP), Oracle unity, salesforce CDP, Tealium etc. and relevant marketing technology solutions (including implementations), particularly within the industry (E-Commerce, Retail, Telecom, Pharma, Banking etc.) Profile & segmentation:Experience building Data management platform capability preferably with tools like Adobe Audience Manager to generate profiles & segments for onsite and paid media activation. Data Partnerships:Identify and build capabilities that enable access to 2nd as well as 3rd party data for activation. This may typically include building secure 2nd party data exchange and activation capabilities, partnership automation platforms, etc. Analytics & Insights:Experience with CDP inbuilt analytics and modelling capabilities to drive insights/ enriched profiles. Experience of integrating external model outputs into the CDPs. MarTech ecosystem:Able to guide and deliver integration of customer profiles and segmentation across MarTech tools like SFMC, Google 360, Adobe Marketing cloud, Real time interaction management tool, Sprinklr for social media, etc. to build end to end customer focused MarTech stack. Experience in ad tech & web/app analytics & their implementations such as cross device and omnichannel consumer experience, paid media (E.g. DSPs, Google, FB etc.) and owned media platform integrations, web/app analytics tools, Omniture, campaign tracking & attribution tools, firebase, Appsflyer also beneficial. Working knowledge of ad serving tools, programmatic channels, tag management platforms (GTM, Launch, Tealium etc.) Experience working with Ads data hub, ad platforms and their API' s i.e., Google API, Facebook conversion API etc. Whats in it for you? An opportunity to work on with key G2000 clients Potential to with leaders in strategy, industry experts, enterprise function practitioners and, business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed into everythingfrom how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your to grow your skills, industry knowledge and capabilities Opportunity to thrive in a that is committed to accelerate equality for all. Engage in boundaryless collaboration across the entire organization.

Hiring for Top management consulting org for the Data Architect-AI role, Kindly go through the JD in detail As a key pillar of our organization, the Engineering Products team worked on various fields from data & AI perspective- Data Strategy, AI Strategy, Data Modelling, Data Architecture, Cloud Assessment, Industry & AI Value strategy etc. that helps our customers in setting up strong data platform foundation & target roadmap to scaling & evolve towards achieving AI/GEN AI & advanced analytics vision to meet the evolving future needs of technology advancement Location - Gurgaon/Bangalore/Pune/hyderabad/Mumbai Who are we looking for? Years of Experience: Candidates should typically have at least 5- 10 years of experience in AI strategy, management, or a related field. This experience should include hands-on involvement in developing and implementing AI strategies for clients across various industries. Desired experience. Minimum 6 years of experience working with clients in the products industry (Lifesciences, CPG, Industry & Ret that are heavily influenced by AI & Gen AI preferences and behaviors, is highly valued. Candidates who have a deep understanding of AI & Gen AI trends and market dynamics can provide valuable insights and strategic guidance to clients. Minimum 5 years proven experience & deep expertise in developing and implementing AI strategy frameworks tailored to the specific needs and aims of clients within LS, Industry, CPG, and Retail sectors. The ability to craft innovative AI solutions that address industry-specific challenges and drive tangible business outcomes will set you apart. Minimum 6 years strong consulting background with a demonstrated ability to lead client engagements from start to completion. Consulting experience should encompass stakeholder management and effective communication to ensure successful project delivery