69 Data Strategy Jobs

NTT DATA is looking for an AI Presales Solution Architect to join the team in Noida, Uttar Pradesh, India. As a seasoned professional with over 12 years of experience in Data and Analytics, including more than 5 years as a presales solutions architect, you will play a crucial role in driving the success of data projects. Your responsibilities will include end-to-end presales solutioning for data projects with a deal value exceeding $2 million. You should be well-versed in data and analytics technologies such as Data migration, ETL Migration, Data strategy, Cloud Data transformation, Estimation, and Pricing Strategy. Your ability to create value propositions, resource loading, estimations, and project delivery timelines will be essential in transforming client problems/needs into actionable deliverables that yield quick and long-term wins. In addition, you should have experience in coordinating with multiple teams to drive solutions and delivering compelling client presentations. Your expertise in working independently on Presales RFP/RFI in Data, analytics, and AI/GenAI areas, as well as your proficiency in hyperscale cloud platforms like Azure, AWS, or GCP, Databricks, Snowflake, and ETL tools, will be highly valued. NTT DATA is a trusted global innovator of business and technology services, serving 75% of the Fortune Global 100. As a Global Top Employer, we are dedicated to helping clients innovate, optimize, and transform for long-term success. With a diverse team of experts in over 50 countries and a robust partner ecosystem, we offer services in business and technology consulting, data and artificial intelligence, industry solutions, application development, infrastructure management, and connectivity. If you are a passionate and innovative individual seeking to be part of an inclusive and forward-thinking organization, we encourage you to apply now and be a part of our journey towards driving digital and AI transformation on a global scale. Visit us at us.nttdata.com to learn more about our commitment to innovation and sustainable growth.,

The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. Within CDAO, The Firmwide Chief Data Office (CDO) is responsible for maximizing the value and impact of data globally, in a highly governed way. It consists of several teams focused on accelerating JPMorgan Chase's data, analytics, and AI journey, including: data strategy, data impact optimization, privacy, data governance, transformation, and talent. As a Data Management Lead within the Firmwide CDO team, you will be responsible for working with stakeholders to define governance, guidance, risk metrics, and tooling requirements in support of the Data Ownership program and overall Data Governance framework. In addition, you will be responsible for delivering on project milestones, tracking program adoption, and producing ongoing senior management reporting and metrics. Your responsibilities will include supporting the evolution and development of the Data Owner and Data Governance framework, maintaining and developing standards and procedures related to Data Governance, and driving the definition of program requirements and deliverables for tools and metrics. You will also coordinate execution activities, develop risk or operational metrics for oversight, create effective presentations for senior executives, actively participate in workstream meetings, and collaborate in ad hoc working sessions. To qualify for this role, you should have formal training or certification in Data Management concepts and at least 5 years of applied experience. Hands-on experience in writing and editing Standards, Control Procedures, Guidelines, and Training materials is essential. Experience with Agile Development methodologies, excellent communication skills, and the ability to work effectively in cross-functional teams are also necessary. Additionally, you should possess strong project management and organizational skills, proficiency with project management tools and Microsoft Office, and the ability to manage complexity and multiple work streams while delivering solutions within tight deadlines. Preferred qualifications include knowledge of data management and governance, a Bachelor's degree in Business, Finance, Economics, or a related area, experience in developing or maintaining Risk, Program, or Operational Metrics, and familiarity with Tableau, visualization, and workflow automation tools.,

As a Data Champion at Siemens Energy, you will play a crucial role in ensuring high-quality, accessible, and reliable supplier and material data within the procurement function. Your responsibilities will include collaborating with various business units and technical teams to identify and address data gaps in SAP and MDG systems, supporting the implementation of the Data Strategy, and promoting a culture of data literacy. By serving as a trusted advisor, you will be the key point of contact for data quality initiatives, facilitating data-driven decisions that enhance procurement effectiveness. In this role, you will evaluate supplier data in SAP and MDG to identify discrepancies and gaps, working closely with Business and MDG teams to maintain accurate data records. Additionally, you will collaborate with commodity managers and operational buyers to drive efforts for cleansing supplier data and support the implementation of the company's Data Strategy within procurement. Your involvement in Data Circle and community initiatives will contribute to improving procurement data quality, while also acting as a single point of contact for projects focused on enhancing data quality in TI Procurement. Your ability to partner with Data Stewards to track project progress and improvements in data quality, as well as your skills in identifying and addressing data quality issues, will be essential. Strong problem-solving skills, effective communication with technical and non-technical audiences, and a proactive approach to resolving data challenges are key aspects of this role. Furthermore, your analytical mindset, passion for data accuracy, and ability to manage multiple customers and priorities in a multi-functional environment will be valuable assets. To be successful in this position, you should have over 3 years of procurement experience with a focus on Supplier and Material Master data management. Hands-on experience with SAP, MDG, or Ariba systems is required, along with a degree in Business, Data Science, Information Systems, or a related field. Previous experience in data-related roles or business analysis is highly regarded, and knowledge of data visualization tools like Power BI or Tableau is a plus. Excellent communication, analytical, and interpersonal skills are also essential for this role. Join the distributed team at Siemens Energy, a global energy technology company dedicated to developing sustainable energy systems for the future. With a diverse workforce of over 100,000 employees in more than 90 countries, we are committed to driving the energy transition and meeting the world's growing energy demand reliably and sustainably. Discover how you can contribute to our mission of decarbonization, innovation, and energy transformation by visiting https://www.siemens-energy.com/employeevideo. At Siemens Energy, we believe in the power of diversity and inclusion. Our workforce of over 130 nationalities thrives on creativity and collaboration, regardless of ethnic background, gender, age, religion, identity, or disability. We energize society by embracing our differences and ensuring equal opportunities for all individuals. As part of the benefits package at Siemens Energy, all employees receive automatic coverage under Medical Insurance, including a considerable Family floater cover for employee, spouse, and up to 2 dependent children. Additionally, the company offers the option to opt for a Meal Card as a tax-saving measure, in accordance with the company policy. Join us at Siemens Energy and be part of a team that is dedicated to making sustainable, reliable, and affordable energy a reality. Your contributions will help shape the future of energy systems and drive the global energy transition.,

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. You will be a part of the Technology Strategy & Advisory practice at Accenture, operating at the level of Sr Manager in locations like Bangalore, Mumbai, Pune, and Gurugram. With 15 to 21 years of experience, you will explore exciting opportunities to contribute to Accenture's global initiatives in Technology Strategy & Advisory. As a Data Architecture Specialist, you will collaborate with clients to leverage data, architecture, and AI to drive business agility and real-time transformation. Your responsibilities will include: - Conducting in-depth analysis to identify and solve complex business problems - Guiding clients in designing and scaling technology-driven growth journeys - Facilitating architecture transformations for improved business outcomes - Enabling clients to build capabilities for sustained high performance and innovation To excel in this role, you are expected to: - Present data strategies and technology solutions for C-suite discussions - Demonstrate expertise in technologies like big data, data integration, and cloud platforms - Lead proof of concept implementations and scale them across various domains - Showcase proficiency in data-led projects and RFP responses - Utilize analytical skills in problem-solving and understanding business value drivers - Develop client relationships and manage stakeholder engagements effectively - Collaborate with diverse teams, leveraging leadership and communication skills to achieve common goals If you are a problem solver with a passion for technology-driven transformations and a desire to enhance business architecture performance, Accenture Technology Strategy & Advisory is the perfect place for you to contribute your skills and expertise. Welcome to a dynamic and inclusive culture where innovation and collaboration thrive.,

Join Amgen's Mission of Serving Patients At Amgen, you play a significant role in making a difference. The shared mission of serving patients living with serious illnesses is at the heart of everything we do. Since 1980, Amgen has been a pioneer in the biotech world, combating some of the toughest diseases globally. Our focus on Oncology, Inflammation, General Medicine, and Rare Disease allows us to impact millions of patients annually. As a member of the Amgen team, you will contribute to researching, manufacturing, and delivering innovative medicines that improve and extend the lives of patients. Our culture at Amgen is recognized for its collaboration, innovation, and science-driven approach. If you thrive on challenges and the opportunities they bring, you will find a fulfilling career with us. Join us at Amgen to not only transform your career but also transform the lives of patients for the better. Senior Manager - Data Strategy & Governance In this pivotal role, your primary responsibility will be to operationalize the Enterprise Data Council vision within specific domains such as Research, Clinical Trials, Commercial, and more. You will coordinate activities at a tactical level, interpreting the Enterprise Data Council's directives, defining operational impact deliverables, and taking actions to establish solid data foundations within designated domains. Collaborating with senior leadership and other Data Governance functional leads, you will align data initiatives with business objectives. The Data Strategy and Governance Lead will set and enforce data governance policies and standards to ensure high-quality data that is easily accessible, reusable, and connects seamlessly to accelerate the development of innovative AI solutions that better serve patients. Roles & Responsibilities: - Oversee data governance and data management within a specific domain of expertise (Research, Development, Supply Chain, etc.). - Lead a team of Data Governance Specialists and Data Stewards focused on a particular domain. - Implement the Enterprise data governance framework operationally, ensuring alignment with the broader collaborator community's data governance needs, including data quality, access controls, regulatory compliance, master data management, data sharing, communication, and change management. - Collaborate with Enterprise MDM and Reference Data teams to enforce standards and promote data reusability. - Drive cross-functional alignment in designated domain(s) to uphold Data Governance principles. - Provide expert guidance on business processes and system design to support data governance and data/information modeling objectives. - Maintain documentation and serve as an expert on data definitions, standards, flows, legacy structures, common models, harmonization, etc., within assigned domains. - Ensure compliance with data privacy, security, and regulatory policies in the assigned domains. - Establish enterprise-level standards for information nomenclature, content, structure, metadata, glossaries, and taxonomies. - Partner with Technology teams, business functions, and enterprise units to define specifications that shape the development and implementation of data foundations. What we expect from you Basic Qualifications: - Masters degree with 8 to 10 years of Information Systems experience OR - Bachelors degree with 10 to 14 years of Information Systems experience, OR - Diploma with 14 to 18 years of Information Systems experience - 4 years of managerial experience directly leading people and leadership experience in managing teams, projects, or programs. - Technical proficiency with a deep understanding of Pharma processes, preferably specializing in a specific domain (e.g., Research, Clinical Trials, Commercial, etc.). - Awareness of industry trends and priorities with the ability to apply them to governance and policies. - Extensive knowledge and experience with data governance principles and technology; capable of designing and implementing Data Governance operating models to drive Amgen's transformation into a data-driven organization. - Profound understanding of data management, common data models, metadata management, data quality, master data management, data stewardship, data protection, etc. - Experience in the development lifecycle of data products, including enabling data dictionaries and business glossaries to enhance data products" reusability and promote data literacy. Preferred Qualifications: - Collaborate on developing data foundations and products in conjunction with functions and Digital teams. - Successfully implement complex projects in a fast-paced environment and manage multiple priorities effectively. - Proficient in managing project or departmental budgets. - Familiarity with modeling tools like Visio. - Basic programming skills, experience with data visualization and data modeling tools. - Experience working with agile development methodologies such as Scaled Agile. Soft Skills: - Ability to cultivate business relationships and grasp end-to-end data usage and requirements. - Excellent interpersonal skills with a focus on teamwork. Proficient in people management within a matrix or direct line function. - Strong verbal and written communication skills. - Effective collaboration with global, virtual teams. - High level of initiative, self-motivation, and the ability to manage multiple priorities successfully. - Team-oriented mindset, dedicated to achieving team goals. - Strong presentation and public speaking abilities. - Attention to detail, commitment to quality, effective time management, and customer-centric focus. What you can expect from us At Amgen, we prioritize your professional and personal growth and well-being as we work together to develop treatments that benefit others. Our competitive benefits and collaborative culture support you at every stage of your journey. In addition to a competitive base salary, Amgen provides comprehensive Total Rewards Plans that align with local industry standards. Apply now for a career that transcends imagination. The opportunities ahead are within your reach. Join us at careers.amgen.com. Amgen's commitment to advancing science to serve patients is upheld by fostering an inclusive environment of diverse, ethical, committed, and highly accomplished individuals who respect each other and embody the Amgen values. Together, we stand united in the battle against serious diseases. Individuals with disabilities will receive reasonable accommodation to engage in the job application or interview process, perform essential job functions, and access other benefits and privileges of employment. Please contact us to request accommodation.,

As a valued member of SitusAMC, you will be part of a team dedicated to transforming our clients" businesses and fostering personal career development. Whether you are an experienced real estate professional, a technology enthusiast, or just starting your career journey, we invite you to join us in unlocking opportunities for all those we serve. We are committed to matching your unique skills and experiences with our exciting career opportunities, enabling you to achieve your full potential within the Real Estate Industry. If you are someone who values authenticity, advocates for others, embraces agility, dares to dream big, takes ownership of outcomes, and balances global vision with local impact, then we welcome you to be a part of our team! Your responsibilities will include: - Developing and implementing an organizational data strategy aligned with business processes, encompassing data model designs, database development standards, cloud/data warehouse management, and data analytics platforms. - Identifying internal and external data sources and devising a data management plan in line with the organizational data strategy. - Collaborating with cross-functional teams, stakeholders, and vendors to ensure the smooth operation of the Analytics data platform. - Managing the end-to-end data architecture, from platform selection to application development, testing, and implementation. - Planning and executing big data solutions utilizing cloud/on-premise technologies. - Defining data flow and information dissemination within the organization, ensuring data accessibility, accuracy, and security. - Overseeing Data governance and integrating technical functionality to maintain system performance and report any issues promptly. - Performing continuous audits of the data management system's performance and refining processes as needed. Qualifications/ Requirements: - Bachelor's degree or equivalent combination of education and experience. - Minimum of 8+ years of industry experience, with at least 2+ years in an AVP level role or equivalent. - Proficiency in systems development life cycle, project management, data modeling, data engineering, and database administration. - Familiarity with Analytics platform production, BI dashboards, ML algorithms, APIs, and data management/reporting technologies. - Ability to work with columnar and NoSQL databases, data visualization, unstructured data, and predictive analytics. The annual full-time base salary range for this role will be determined based on interviews, education, experience, skills, geographic location, and market data. Certain positions may also be eligible for discretionary bonuses based on program guidelines and senior management approval. SitusAMC provides a comprehensive and competitive benefits plan to support the well-being of our employees.,

As an AI/ML Manager at a high-end start-up AI Strategy and Consulting company in Mumbai/Bengaluru, you will lead and mentor a team of AI/ML consultants. Your main responsibilities will include driving the design, development, and implementation of AI copilots to enhance organizational efficiency. You will be involved in data pre-processing, feature engineering, model training, and optimizing machine learning algorithms. Furthermore, you will integrate AI copilots into existing systems, analyze data to provide insights, and collaborate with cross-functional teams to address business requirements. Working closely with clients, you will tailor solutions to their specific needs, offer technical guidance, and support the project lifecycle. Your role will also involve driving continuous improvement initiatives, identifying areas for optimization and innovation to maximize client value. To excel in this role, you should have at least 4 years of experience in consulting, project management, or related roles, with a focus on healthcare and/or CPG industries. Experience in natural language processing (NLP) and/or computer vision (CV) would be advantageous. Additionally, knowledge of containerization technologies, microservices architecture, and DevOps practices for continuous integration and deployment is preferred. You are expected to have a deep understanding of data analytics, data strategy, and digital transformation methodologies, with practical experience in implementing data-driven solutions. Familiarity with AI technologies, machine learning algorithms, and NLP techniques is essential. If you have contributed to open-source projects or publications in relevant conferences/journals, it would be a plus. As part of the selection process, you will undergo 2 technical assessments followed by an HR discussion. Your expertise, best practices, and mentoring skills will contribute to the growth and development of the organization. Join us in reimagining workflows, modernizing data infrastructure, and delivering tailor-made AI solutions to our clients.,

The position you are applying for involves technical work within the Data Governance environment, focusing on configuration and light-weight coding/scripting. Your role will require expertise in various Data Governance technologies, including data catalog tooling and data quality tooling. You will be responsible for configuring new rules, monitoring, settings, and integrations, using both out-of-the-box functionality and third-party services and APIs. Additionally, you will participate in the technical design of features under guidance, aiming to attain expertise in key areas. As part of your responsibilities, you will need to effectively communicate technical concepts to business stakeholders and convey business objectives to the technical team. Staying updated on industry trends is crucial, as is taking on tasks of increasing complexity, learning quickly, and making steady progress independently. You will own small to medium features from technical design through completion. In this role, you will provide insight and guidance on data strategy, governance, and stewardship to enhance the data quality environment. This includes supporting research on Data Quality methodologies and tools, partnering with business and technology to identify and implement enterprise data quality initiatives, and evaluating technical data validation rules. Collaboration with key stakeholders to understand data needs, gaps, impacts, and data risk management will be essential, along with identifying opportunities or problems and assessing data quality in different systems. Your qualifications should include a Bachelor's degree in any stream and 2-4 years of work experience. You should have knowledge of data governance, data quality, and data stewardship best practices, the ability to influence across multiple levels, and proficiency in prioritizing and managing complex tasks. Technical skills required for this role include familiarity with Data Quality tools, SQL, MS Office (including Access and Visio), relational database concepts, and query skills. Strong communication skills are vital for this position. Preferred qualifications for this role include a Bachelor's degree, experience in handling expectations and communication with cross-functional teams, knowledge of Data Governance and Data Quality programs (such as DAMA-DMBOK concepts and methodologies), understanding of IT development, data management, and change processes, as well as familiarity with data quality reporting methodologies and capabilities. If selected for this role, you will work on projects and other assigned duties within the Data Governance environment, contributing to the overall data quality and governance initiatives of the organization.,

Summary Independently lead Data or Data Science and AI global initiatives part of the overall Enterprise and Divisional Data or Data Science Strategy to contribute solving unmet medical needs, in collaboration with various stakeholders. -Role model a culture of analytical and data driven decision making and data/data sciences across Novartis leadership in research, development, commercial, manufacturing and support functions. -Deep technical experts with key accountability for a significant project, business activity. -Shape future direction for own part of the organization based on the overall organization strategy provided by business leadershipIf managing a team: empowers the team and provides guidance and coaching. About The Role Major accountabilities: Develops and executes roadmap for the team to innovate in multiple business verticals by transforming the way to solve a problem using Effective data management, Data Science and Artificial Intelligence. Strategically coordinates, prioritizes and efficiently allocates the team resources to critical initiatives: plans resources proactively, anticipates and actively manages change, sets stakeholder expectations as required, identifies operational risks and enable the team to drives issues to resolution, balances multiple priorities and minimizes surprise escalations -Design, develop and deliver various data science based insights, outcomes and innovation (using mathematics, computer science, statistics, engineering, management science, technology, economics, etc.) and create proof of concepts and blueprints to drive faster, timely, highly precise, workable and proactive decision making based on data based insights and science and shape strategic glidepath of the company. Design, develop and deliver various master data, data governance, data quality initiatives to drive the business priorities, scale foundational capabilities to support data science initiatives as well as the data driven decision making -Selection of innovative methods including machine learning, deep learning, other cognitive computing methods and artificial intelligence -Exploratory analytics to identify trends, patterns or process drivers -Support of User Experience Design and development of advanced analytics products -Collaborates with globally dispersed internal stakeholders, external partners and Institutions and cross-functional teams to solve critical business problems, drive operational efficiencies and innovative approaches, -Provides expert input into strategy for their Business Partners -Proactively evaluates the need of technology and novel scientific software, visualization tools and new approaches to computation to increase efficiency and quality of the Novartis data sciences practices -Provides agile consulting, guidance and non-standard exploratory analysis for unplanned urgent problem -Acts as a catalyst for innovation in Data management, Data Science and AI -May lead a Team / Function or indepth technical expertise in a scientific / technical field depending upon the career path (Manager/Individual contributor) -Coaches and empowers junior Data professionals and Data Scientists across Novartis. Contribute to the development of Novartis data management and data science capabilities -Distribution of marketing samples (where applicable) Essential Requirements 10+ years of relevant experience in Data Science. Desirable Skills Applied Mathematics. Artificial Intelligence (Ai). Aws (Amazon Web Services). Big Data. Building Construction. Cloud (Computing). Computer Science. Data Governance. Data Literacy. Data Management. Data Quality. Data Science. Data Strategy. Electrical Transformers. Machine Learning (Ml). Master Data Management. Professional Services. Python (Programming Language). R (Programming Language). Random Forest Algorithm. Statistical Analysis. Time Series Analysis. Youll receive: You can find everything you need to know about our benefits and rewards in the Novartis Life Handbook. https://www.novartis.com/careers/benefits-rewards Commitment To Diversity And Inclusion Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve. Accessibility and accommodation Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to perform the essential functions of a position, please send an e-mail to [HIDDEN TEXT] and let us know the nature of your request and your contact information. Please include the job requisition number in your message Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our career opportunities, join the Novartis Network here: https://talentnetwork.novartis.com/network Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients lives. Ready to create a brighter future together https://www.novartis.com/about/strategy/people-and-culture Join our Novartis Network: Not the right Novartis role for you Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network Benefits and Rewards: Read our handbook to learn about all the ways well help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards Show more Show less

Join as a Reference Data Manager III (Vice President) and become a pivotal leader in our dynamic team, specializing in the support of instruments, pricing, issuer, index, and market data. Your expertise and data-driven mindset will be instrumental in meeting the diverse demands of our internal clients across Asset & Wealth Management lines of business. As a Reference Data Manager III (Vice President) within the Asset & Wealth Management team at J.P. Morgan, you will lead a specialized team focused on supporting instruments, pricing, issuer, index, and market data. You will leverage your data-promoten mindset to meet internal client demands across various lines of business, while establishing a robust control framework and effective operating model. Additionally, you will provide thought leadership and execute the reference data operations strategy. Job Responsibilities: - Recruit, train and manage a team of individuals responsible for the creation and maintenance of various types of reference data on our core platform. - Be responsible for performance management of team members, develop and coach existing talent, and define and implement a succession plan for members of the team. - Ensure proper controls are in place to reduce financial and regulatory risks, design and implement controlled operational processes to meet specific business needs and ensure adherence to controls. - Partner with Technology, Operations, Chief Data Office, and the business for our strategic Reference Data platforms build and adoption program and deliver change to our production environment. - Have project management capabilities on Operations initiatives and projects related to productivity, process streamlining and automation. - Be responsible for the timely execution of project tasks, stakeholder updates, resolving and escalating issues. - Be required to perform business analysis tasks within the role, in addition to the overall management of initiatives. Required Qualifications, Capabilities, and Skills: - 10+ years experience within financial services. - Demonstrated ability to think strategically with respect to data, technology, risk/control, and operations agendas. - Domain knowledge of Index, equity, fixed income, derivatives products and demonstrated stakeholder management skills with related experience. - Good leadership, influencing and communication skills with the ability to work with others at all levels. - People management experience, including candidate review and assessment, performance management, training and development planning, and objective setting. - Ability to deal with global issues across business levels. - Proficient in Microsoft Office. Preferred Qualifications, Capabilities, and Skills: - Experience in reference data management, operations and Change management, with solid knowledge in risk and controls.,

As a Consultant at Level 9 in Bangalore or Gurgaon, you will play a crucial role in designing robust data and AI strategies for large transformation deals. Your key responsibilities will involve discovering appropriate business use cases, reimagining process design, and optimizing architecture to ensure effective outcomes. You will define strategies to evaluate clients" existing data and implement AI capabilities, creating future roadmaps through tools like data diagnostics, data and AI maturity assessment, and business case development. Your expertise will be instrumental in establishing and executing data and AI platform strategies for stakeholders, encompassing cloud computing, emerging data and AI platforms, technologies, trends, and ecosystem strategies. You will be responsible for crafting architecture and operating model blueprints, including organizational design, delivery engagement models, and talent & learning roadmaps to facilitate seamless integration and scalability of AI solutions across the organization, in alignment with business objectives and technical prerequisites. Additionally, you will develop strategic roadmaps for AI initiatives implementation, delineating key milestones, dependencies, and timelines to ensure successful execution and alignment with business priorities. Your role will also entail providing thought leadership on emerging data and AI trends, patterns, and technologies, driving proofs of capability and enabling clients to embrace innovation in the data and AI domain. Collaboration with cross-functional teams will be essential in constructing compelling business cases for AI initiatives, conducting comprehensive cost-benefit analyses, ROI assessments, and risk evaluations to aid decision-making and investment prioritization. You will be expected to incorporate Responsible AI principles into the core AI foundation and solution design, devise plans for leveraging ecosystem partners, and establish an operating model to cultivate a culture of innovation and experimentation within the organization.,

The Chief Information & Technology Officer (CITO) role in Lagos, Nigeria involves transforming the organization's technology, data strategy, and information security programs to align with strategic goals. You will lead a team of skilled professionals and foster relationships with internal business units and industry connections. Your responsibilities will include driving technology, data, and information security innovation, maintaining a strong vision, and overseeing daily operations to ensure alignment with financial goals. Key Responsibilities: - Design and drive technology, data, and information security innovation to enhance customer and employee experiences. - Lead revenue generation, customer experience, digital operations, and innovation through technology. - Develop and maintain a strategic roadmap for technology that supports the organization's goals. - Identify appropriate technology platforms for product delivery and service improvement. - Champion disruptive technologies for financial benefits and enhanced experiences. - Optimize cloud technology and legacy systems. - Identify innovative technology opportunities and solutions. - Develop guidelines for technological innovation and cost-efficient solutions. - Manage the enterprise-wide information security program. - Stay updated on technology standards, industry trends, and emerging technologies. - Lead disaster recovery and business continuity planning. - Foster a culture of collaboration within the technology group. - Build a competent team that embraces change and respects industry standards. - Establish a standardized data architecture for organizational insights. - Communicate technology strategy to key stakeholders. - Ensure technology standards and best practices are maintained. Experience & Education: - Minimum of 7 years of experience in transforming customer technology/service experience. - Experience in leading high-performing technology teams, preferably in financial services. - Recent experience in strategic technology planning, data architecture, and information security. - Prior experience in cyber security services, software, or systems. - Bachelor's degree in Computer Science, IT Management, or related field. Skills & Qualifications: - Exceptional strategic vision and analytical skills. - Strong initiative and productivity. - Collaborative interpersonal skills. - Self-driven, results-oriented, and motivated. - Hands-on leadership with team empowerment. - Ability to present complex ideas clearly. - Strong communication skills. - Comfort with disruptive technologies. - Customer service mindset. - Business acumen to interpret strategies into technology needs. To apply, send CVs to careers@worknigeria.com with the job title as the email subject.,

About The Role Accenture Strategy & Consulting Management Consulting Manager Global Network High Tech Data & AI Strategy Team Welcome to Accenture, the world of endless opportunities to solve our clients' toughestchallenges, as you work with exceptional people, the latest tech and leading companies across industries. Practice: High Tech Industry Consulting, Global Network I Areas of Work: Management Consulting | Level: Manager | Location: Gurgaon, Mumbai, Bangalore, Hyderabad | Years of Exp: 8-12 years Explore an Exciting Career at Accenture Are you an outcome-oriented problem solverDo you enjoy working on transformation strategies for global clientsDoes working in an inclusive and collaborative environment spark your interest Then, Accenture Strategy and Consulting (S&C) is the right place for you to explore limitless possibilities. The Practice A Brief Sketch As a part of the High-Tech team, you will work with leading high-tech industry clients across the globe, develop and execute global strategies, manage complex change initiatives, and integrate solutions to meet changing business challenges. About The Role : As a Management Consulting Manager Data & AI, you will be instrumental in understanding and analysing clients business problems, guiding clients through AI-driven transformations, shaping data strategies, and implementing machine learning solutions. Your role will include solving the clients business problems by developing AI strategies consistent with the clients business, establishing governance frameworks, creating user experiences, designing innovative solutions, and creating roadmaps for implementations that drive tangible business value. You will also be responsible for driving business development initiatives for various markets and client accounts, while cultivating and strengthening relationships with senior Accenture and client stakeholders to forge strategic partnerships and drive business growth for Accenture S&C in general, and Global Network in particular. You will be responsible for leading a team of Consultants, Analysts, and Associates, providing strategic guidance across various projects, while fostering their professional growth through mentorship and support. You will drive the development of assets such as whitepapers, thought leadership content, and industry insights, showcasing expertise in AI, data strategy, and emerging technologies to drive sales origination and establish the organization as a market leader in AI/Gen AI. Key Responsibilities: Advise clients on AI strategy, implementation, and optimization to drive business transformation and competitive advantage Advise clients on data strategy, data governance frameworks, data architecture Provide holistic solutions to complex client challenges, utilizing issue-based problem-solving methodologies Support the practice leadership and global account teams in identifying and securing new business opportunities within High Tech accounts Lead Go-to-Market (GTM) initiatives and build relationships with key stakeholders Collaborate with cross-functional teams to integrate AI-driven insights into business processes, improving efficiency and decision-making Analyse client businesses, market landscapes, and competitors, deriving insights and recommending strategic Gen AI applications Lead the development of AI-based thought leadership materials, including whitepapers, industry reports, and case studies Stay ahead of industry trends in AI/Gen AI, bringing innovative solutions to clients and the practice Help build and expand the High-Tech Practice by developing thought leadership assets, POVs, and white papers on emerging AI trends and industry innovations Mentor and guide a team of consultants, analysts, and associates Whats in it for you An opportunity to work on with global 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 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. Qualification Your experience counts! Strong expertise in AI, Gen AI, Data Strategy, and AI and Data Governance; consulting background is preferred Ability to self-drive business development opportunities from origination through deal closure, independently developing strong networks within the firm Proven experience in AI transformation initiatives and digital transformation strategy consulting Background in the High-Tech industry with experience in AI/Gen AI applications Ability to drive actionable outcomes and deliver business impact Strong analytical and problem-solving skills to address complex business challenges Exceptional communication and storytelling abilities, with experience in presenting to senior executives Cross-cultural competence and ability to work in a fast-paced, collaborative environment Experience leading and mentoring teams in management consulting Qualifications MBA from a Tier-1 business school 8-12 years of experience in AI/Gen AI, data strategy, or management consulting. Strong knowledge of cloud platforms, responsible AI, and enterprise AI strategies High Tech Industry Knowledge

Role Support the processes for improving and expanding merchant data, including address standardization, geocoding, incorporating new merchant data sources to assist in improvements. Assess quality issues in merchant data, transactional data, and other critical data sets. Support internal and external feedback loop to improve data submitted through the transaction data stream. Solution and present data challenges in a manner suitable for product and business understanding. Provide subject matter expertise on merchant data for the organization's product development efforts Coordinate with MC Tech to develop DQ remediation requirements for core systems, data warehouse and other critical applications. Manage corresponding remediation projects to ensure successful implementation. Lead organization-wide awareness and communication of data quality initiatives and remediation activities, ensuring seamless implementation. Coordinate with critical vendors to manage project timelines and achieve quality deliverables Develop and implement with MC Tech data pipelines that extracts, transforms, and loads data into an information product that supports organizational strategic goals Implement new technologies and frameworks as per project requirements All About You Hands-on experience managing technology projects with demonstrated ability to understand complex data and technology initiatives Ability to lead and influence others to advance deliverables Understanding of emerging technologies including but not limited to, cloud architecture, machine learning/AI and Big Data infrastructure Data architecture experience and experience in building data models. Experience deploying and working with big data technologies like Hadoop, Spark, and Sqoop. Experience with streaming frameworks like Kafka and Axon and pipelines like Nifi, Proficient in OO programming (Python Java/Springboot/J2EE, and Scala) Experience with the Hadoop Ecosystem (HDFS, Yarn, MapReduce, Spark, Hive, Impala), Experience with Linux, Unix command line, Unix Shell Scripting, SQL and any Scripting language Experience with data visualization tools such as Tableau, Domo, and/or PowerBI is a plus. Experience presenting data findings in a readable and insight driven format. Experience building support decks.

Are you passionate about driving strategic business decisions , optimising operations , and leveraging automation to scale efficiency? Do you thrive in high-growth, data-driven environments where innovation and process excellence are key? If so, Tracxn is looking for a dynamic leader to join our team! Location : Bangalore, India Job Type : Full-time Work From Office About Tracxn Tracxn is a leading market intelligence platform, tracking the worlds most innovative startups and private companies. Our insights help top VCs, PE firms, and Fortune 500 companies make data-backed decisions. As we continue to expand, we are looking for a highly motivated AVP Business Strategy & Operations to drive operational excellence within our Data Team. Your Role & Impact As AVP Business Strategy and Operations (DATA) at Tracxn, you will play a critical role in driving data-led business strategies, optimizing large-scale data operations, and accelerating automation to enhance operational efficiency. This role requires a deep understanding of data management, workflow automation, and process excellence, coupled with strong business acumen to drive scalable and data-driven growth. You will collaborate with cross-functional teams to streamline data operations, introduce automation-led efficiencies, and optimize data processing models to support Tracxns business objectives. Business Strategy & Process Optimization Design and implement scalable business strategies to enhance operational efficiency and optimize large-scale data operations. Identify key process bottlenecks and develop strategies to reduce manual effort, ensuring faster and more accurate data processing. Streamline end-to-end data workflows, ensuring data quality, efficiency, and consistency across all operations. Work closely with leadership to align operational processes with business objectives, driving improved outcomes. Continuously monitor and optimize data processing workflows to support rapid scalability and business growth. Data Operations & Automation Strategy Lead large-scale data operations by designing automation frameworks to reduce human intervention and improve data processing efficiency. Build and optimize workflows that combine LLMs, APIs, scraping, and human supervision to extract, clean, enrich, and validate private company data. Collaborate with Tech, Product, and Data Science teams to introduce AI/ML-driven data collection, enrichment, and processing solutions. Implement workflow automation to streamline repetitive tasks and minimize manual dependencies. Enhance data processing accuracy and speed by integrating robust automation solutions into data operations. Ensure the development of scalable data operations models that can support business growth while minimizing operational costs. Data-Driven Decision Making & Insights Develop and implement real-time operational performance dashboards to monitor key data metrics, productivity, and output efficiency. Provide leadership with actionable insights for decision-making. Monitor data processing trends, workflow performance, and operational efficiency to identify areas of improvement. Collaborate with business, product, and technology teams to turn data insights into operational improvements that drive scalability. Ensure that measurable KPIs back all data operations and workflows to track effectiveness and continuous improvement. Automation & Technology Integration Partner with Tech and Product teams to drive AI-led automation solutions for data collection, processing, and enrichment. Optimize data pipelines by integrating data ingestion, processing, and delivery automation using scalable technologies. Identify and implement advanced workflow automation tools to reduce operational friction and boost productivity. Ensure seamless integration of data collection, enrichment, and delivery pipelines to support Tracxns data intelligence platform. Continuously evaluate and implement new-age technologies to optimize data operations and minimize turnaround times. Leadership & Cross-Functional Collaboration Lead and mentor a high-performance team focused on business strategy, data operations, and automation excellence. Drive close collaboration with Engineering, Product, and Sales teams to ensure seamless data flow and operational efficiency. Foster a culture of continuous improvement, operational excellence, and automation-first approach within the data operations team. Serve as a strategic advisor to the leadership team on optimizing data operations and driving business scalability. Promote cross-functional alignment to drive data-led business growth, process efficiency, and cost reduction. What Success Looks Like in This Role Achieving operational scalability by significantly reducing manual interventions through automation. Enhancing data processing accuracy, speed, and output quality to support business growth. Driving measurable improvements in data operations efficiency, process standardisation, and turnaround times. Collaborating with Tech, Product, and Business teams to deliver data-driven business insights that drive strategic growth. Establishing Tracxns data operations as a benchmark for efficiency, scalability, and process automation. What Were Looking For Up to 10 years of experience in business strategy, operations, or process automation. Strong understanding of how LLMs, NLP, scraping, and ML models can be applied to automate data workflows. Ability to drive scalable process improvements in a data-driven environment. Excellent problem-solving, analytical, and stakeholder management skills. Familiarity with data tools, automation platforms, and analytics dashboards (not mandatory but a plus). Why Join Tracxn? Lead strategic business initiatives in a high-impact, data-first organization. Drive automation and operational transformation at scale. Be part of a fast-growing, tech-driven company. Competitive compensation & fast career growth opportunities.

As a Data Strategy & Data Governance Manager at Accenture, you will be part of the Technology Strategy & Advisory team, focusing on enabling our most strategic clients to realize exceptional business value from technology. You will play a crucial role in defining and implementing data strategies for global clients, working on transformative strategies and innovative solutions. Your responsibilities will include assessing the potential of Data & Analytics for business transformation, envisioning and designing customized data and analytics products and services, and formulating guiding principles and components for clients" technology landscape. You will evaluate existing data and analytics products, develop solutions, and establish frameworks for effective Data Governance across multispeed implementations. To excel in this role, you will need to leverage your knowledge of technology trends in Data & Analytics, interact with client stakeholders to understand their problems and priorities, and design enterprise-wide Data & Analytics strategies. You will establish data governance processes, define data ownership, standards, and policies, and drive data capability maturity assessments for clients. Your expertise in cloud platforms like Google, Azure, or AWS will be essential for architecting and designing solutions, while collaborating with business experts and technology teams. The ideal candidate will have an MBA from a tier 1 institute, 5-7 years of Strategy Consulting experience, and at least 3 years of experience in Data & Analytics Strategy, Data Operating Model & Governance, and Data on Cloud Strategy. Experience with technologies like Collibra, Talend, Informatica, and SAP MDG, as well as certifications in Cloud Data & AI Practitioner (Azure, AWS, Google) will be advantageous. Strong leadership skills, financial acumen, and industry expertise in sectors like Financial Services, Retail, Telecommunications, or Life Sciences are desirable. If you are a problem solver with a passion for driving data-driven transformations and delivering value to clients, this is an exciting opportunity for you to make a significant impact in the field of Data Strategy & Data Governance at Accenture.,

Tezo is a new generation Digital & AI solutions provider, renowned for delivering exceptional outcomes to customers through cutting-edge analytics, data proficiency, technology, and digital excellence. We are currently looking for a highly experienced and dynamic Practice Head in Data Science & AI to spearhead our data practice in Hyderabad. This role is tailored for a technology leader well-versed in Data Science, Artificial Intelligence (AI), and Machine Learning (ML), with a track record of building and expanding data practices. The ideal candidate should possess strong business acumen, experience in solution selling, and pre-sales expertise. As the Practice Head in Data Science & AI at Tezo, you will have the following key responsibilities: Leadership & Strategy: - Create and execute the strategic vision for the Data Science and AI practice. - Form and lead a high-performing team comprising data scientists, ML engineers, and AI experts. - Collaborate with various teams to embed data-driven solutions within broader business strategies. Technical Expertise: - Oversee the design and implementation of advanced AI/ML solutions across diverse domains. - Stay updated on industry trends, emerging technologies, and best practices in AI, ML, and data science. - Offer technical guidance and hands-on support for key initiatives. Practice Development: - Establish frameworks, methodologies, and best practices to enhance the scalability of the data science practice. - Define and deploy reusable components, accelerators, and IPs to streamline solution delivery. Client Engagement & Pre-Sales: - Assist in business development by collaborating with sales teams to identify opportunities, craft proposals, and deliver presentations. - Engage in solution selling by tailoring AI/ML-based solutions to meet client requirements. - Cultivate strong client relationships and serve as a trusted advisor on their data journey. Required Skills & Experience: - Minimum of 12 years of experience, with at least 5 years in leading data science/AI teams. - Demonstrated expertise in establishing or leading data science or AI practices. - Strong technical background in AI, ML, NLP, predictive analytics, and data engineering. - Proficiency with tools and platforms such as Python, R, TensorFlow, PyTorch, Azure ML, AWS SageMaker, among others. - Sound understanding of data strategy, governance, and architecture. - Proven track record in solutioning and pre-sales engagements. - Excellent communication, leadership, and stakeholder management skills.,

As a Vice President - Data Modeller at HSBC, you will play a crucial role in organizing and transforming complex Finance data into actionable insights through data model structures. With your strong analytical mindset and expertise in various data modelling techniques and tools, you will design and implement efficient data models that meet the data needs of the Finance business within a global financial institution. Your responsibilities will include developing conceptual, logical, and application data models aligned with HSBC's Future State Architecture, supporting Finance teams in migrating to target state data models, creating data modelling schemas in line with Enterprise data models, and contributing to the continuous improvement of the data modelling estate while ensuring compliance with regulatory standards. You will serve as a subject matter expert in data modelling, collaborate with cross-functional teams and stakeholders, maintain various data modelling documents, translate Finance business requirements into data modelling solutions, and conduct audits of data models to ensure alignment with Enterprise data models and architecture principles. To excel in this role, you should have a minimum of 10 years" experience in Data management and modelling within the Financial Services sector, preferably in a Treasury/Finance function. Experience in a large and global banking environment, knowledge of Agile and Scrum methodologies, and familiarity with data governance principles are essential. Additionally, exposure to leading data modelling tools, cloud solutions, big data technologies, and ETL architectures will be advantageous. Join HSBC and be part of a culture that values professional development, flexible working, and inclusivity. Your contributions as a Vice President - Data Modeller will be instrumental in driving the organization's strategic data needs and supporting Finance business objectives. HSBC is committed to creating a workplace where every employee is respected, valued, and provided with opportunities to grow. Your personal data will be handled in accordance with the Bank's Privacy Statement, reflecting our dedication to maintaining a secure and inclusive environment for all employees.,

You will be responsible for understanding complex and critical business problems and formulating an integrated analytical approach to mine data sources. Your role will involve employing statistical methods and machine learning algorithms to contribute to solving unmet medical needs, discovering actionable insights, and automating processes to reduce effort and time for repeated use. You will manage the implementation and adherence to the overall data lifecycle of enterprise data, from data acquisition or creation through enrichment, consumption, retention, and retirement. This will enable the availability of useful, clean, and accurate data throughout its lifecycle. Your high agility will allow you to work across various business domains effectively. Additionally, you will integrate business presentations, smart visualization tools, and contextual storytelling to translate findings back to business users with a clear impact. You will independently manage budgets, ensure appropriate staffing, and coordinate projects within the area. If you are managing a team, you will empower the team, provide guidance and coaching, with initial guidance from more senior leaders supervised. This role may be your first people manager experience. In this role, your major accountabilities will include project managing your tasks, collaborating with allied team members, and proactively planning and managing change. You will work with internal stakeholders, external partners, and cross-functional teams to solve critical business problems. Understanding life science data sources, researching and co-developing new algorithms, methods, statistical models, and business models will also be part of your responsibilities. You will quickly learn to use tools, data sources, and analytical techniques needed to answer a wide range of critical business questions. Supporting the evaluation of technology needs, proposing research articles for application to business problems, developing automation for data management, and articulating solutions to business users will be key aspects of your role. Furthermore, you will work with senior data science team members to present analytical content concisely and effectively, provide understandable and actionable business intelligence for key stakeholders, and may lead a small team or provide in-depth technical expertise in a scientific/technical field, depending on your career path. Reporting of technical complaints, adverse events, and special case scenarios related to Novartis products within 24 hours of receipt, as well as distribution of marketing samples, may also be required. Your key performance indicators will include the achievement and governance endorsement of data management and advanced analytics program tollgates, as well as successful implementation based on KPIs and program objectives. Minimum Requirements: - In-depth mastery of the external environment and trends. - 15+ years of relevant experience in Data Science. - 2+ years of relevant experience in Data Science. - Track record delivering global solutions at scale. - Strong professional network across Academia. Required Skills: - Apache Hadoop. - Applied Mathematics. - Big Data. - Curiosity. - Data Governance. - Data Literacy. - Data Management. - Data Quality. - Data Science. - Data Strategy. - Data Visualization. - Deep Learning. - Machine Learning (ML). - Machine Learning Algorithms. - Master Data Management. - Proteomics. - Python (Programming Language). - R (Programming Language). - Statistical Modeling. Language: - English. Novartis is dedicated to helping people with diseases and their families by fostering a community of smart, passionate individuals like yourself. By collaborating, supporting, and inspiring each other, we aim to achieve breakthroughs that positively impact patients" lives. If you are ready to contribute to creating a brighter future, you can learn more about our values and culture at [Novartis Careers](https://www.novartis.com/about/strategy/people-and-culture).,

As a Management Consulting Manager in the Data & AI Strategy team at Accenture, you will play a crucial role in understanding and analyzing clients" business challenges, guiding them through AI-driven transformations, shaping data strategies, and implementing machine learning solutions. Your responsibilities will include developing AI strategies aligned with clients" business objectives, establishing governance frameworks, designing innovative solutions, and creating implementation roadmaps to drive tangible business value. Moreover, you will lead business development initiatives across various markets and client accounts, foster relationships with senior stakeholders, and drive strategic partnerships to promote business growth within Accenture Strategy and Consulting, particularly in the Global Network division. In this role, you will oversee a team of Consultants, Analysts, and Associates, providing strategic direction on projects, supporting their professional development through mentorship, and driving the creation of assets such as whitepapers, thought leadership content, and industry insights to position the organization as a market leader in AI and emerging technologies. Key Responsibilities: - Advise clients on AI strategy, implementation, and optimization to enhance business transformation and gain a competitive edge. - Offer guidance on data strategy, data governance frameworks, and data architecture to address client challenges effectively. - Collaborate with cross-functional teams to integrate AI-driven insights into business processes, improving efficiency and decision-making. - Lead the development of AI-based thought leadership materials, including whitepapers, industry reports, and case studies. - Stay abreast of industry trends in AI/Gen AI, bringing innovative solutions to clients and the practice. - Mentor and guide a team of consultants, analysts, and associates to drive professional growth and project success. Your experience should include a strong background in AI, Gen AI, Data Strategy, and AI/Data Governance, with a preference for consulting expertise. You should demonstrate the ability to drive business development opportunities, lead AI transformation initiatives, possess exceptional analytical and problem-solving skills, and excel in communication and presentation to senior executives. Additionally, having cross-cultural competence, a fast-paced collaborative work ethic, and experience in mentoring teams in management consulting will be beneficial for this role. A relevant qualification such as an MBA from a Tier-1 business school and 8-12 years of experience in AI/Gen AI, data strategy, or management consulting is required, along with knowledge of cloud platforms, responsible AI, and enterprise AI strategies within the High-Tech industry.,

Key Skills : BI Tools (Power BI/Tableau), Data Strategy, Stakeholder Management, Advanced Analytics, Data Governance Job Description : On behalf of our client, we are seeking a visionary Head of Business Intelligence to lead enterprise reporting, insights, and decision intelligence initiatives. Responsibilities : Own the BI roadmap and enterprise data visualization strategy Build and lead a high-performing BI team supporting CXOs Drive adoption of self-service analytics across business units Work closely with IT, product, and business stakeholders

As a Solution Engineer at Styli, you will be responsible for analyzing business requirements and translating them into scalable technical solutions for ecommerce and marketplace platforms. With a focus on performance optimization, scalability, and innovation, you will play a crucial role in architecting solutions that enhance customer experiences and streamline operations. Your expertise in building and scaling ecommerce platforms, marketplace integrations, and cloud-native architectures will be essential for the success of our marketplace ecosystem. Key Responsibilities - **Solution Design**: Analyze business requirements and design scalable technical solutions for ecommerce and marketplace platforms. - **Development**: Implement features to support marketplace scalability, multi-vendor capabilities, inventory management, and dynamic pricing models. - **Performance Optimization**: Ensure high performance and availability of marketplace systems by optimizing page load times, search functionality, and transaction processes. - **Scalability**: Architect solutions to handle growing marketplace traffic, vendor onboarding, and product catalog expansion. - **Data Strategy**: Work with large data sets for effective integration and processing of customer, vendor, and product data. - **Customer Experience**: Collaborate with UX/UI teams to optimize customer and vendor journeys, including advanced search, personalization, and checkout flows. - **Cloud Deployment**: Utilize cloud platforms (AWS, Azure, GCP) for deploying, monitoring, and maintaining scalable ecommerce and marketplace systems. - **Cross-functional Collaboration**: Work with stakeholders across product, engineering, and business teams to deliver end-to-end solutions. - **Mentorship and Leadership**: Guide junior engineers and contribute to team development by sharing best practices and expertise. Required Skills and Qualifications - **Experience**: 5-7 years in solution engineering with expertise in ecommerce and marketplace platforms. - **Ecommerce & Marketplace Systems**: Experience with platforms like Magento, Shopify Plus, BigCommerce, Mirakl, or custom solutions. - **Full-stack Development**: Proficiency in the MERN stack (MongoDB, Express.js, React.js, Node.js) or similar frameworks. - **Scalable Architectures**: Design experience with microservices and headless commerce solutions for marketplace environments. - **Performance Optimization**: Expertise in scaling high-traffic ecommerce systems, load balancing, caching, queuing, and database optimization. - **Cloud Platforms**: Deployment experience on AWS, Azure, or GCP with a focus on scalability and reliability. - **Data Management**: Strong knowledge of SQL, NoSQL, and analytics integration for actionable insights. - **DevOps Practices**: Familiarity with CI/CD pipelines, Docker, Kubernetes, and monitoring tools. Preferred Skills - **Marketplace-Specific Features**: Experience with commission models, dispute resolution workflows, vendor performance tracking, and ads management. - **Personalization Engines**: Familiarity with advanced personalization engines and recommendation systems. - **Global Marketplaces**: Knowledge of multi-currency and multi-language implementation for global marketplaces. - **Enterprise Tools Integration**: Experience integrating with ERP, CRM, and WMS systems. - **Analytics and Reporting**: Exposure to tools like Google Analytics, Adobe Analytics, or Power BI. Soft Skills - **Problem-solving**: Strong problem-solving skills with a focus on delivering business value through technical solutions. - **Communication**: Excellent communication skills to engage with technical and non-technical stakeholders, vendors, and partners. - **Project Management**: Ability to manage multiple projects and deliver on tight deadlines. - **Leadership**: Track record of mentoring and guiding engineering teams. Education - Bachelors or masters degree in computer science, Engineering, or related fields (or equivalent experience).,

A Business Data Strategist is responsible for defining the data strategy of an organization to enable data-driven decision-making. This role bridges the gap between business objectives and technical data insights, translating data into actionable strategies and recommendations. The Business Data Strategist works closely with executives, business leaders, data architects and business analysts to understand the business value chain, map business processes to technology (Data/AI) capabilities, analyze whitespaces, and advise domain-specific opportunities for improvement. Job Title : Business Data Strategist Responsibilities: 1. Translate Business Problems: - Understand organization vision, business verticals, business drivers, market condition and key competitors. - Map the business value chain with high level understanding of business processes. - Understand business challenges, pain points, strategic and operational risks. - Identify whitespaces where data and analytics interventions can help. - Build use cases that can be translated to the technical team for further decomposition. 2. Define Data Strategy: - Lead the development of the organizations data strategy, aligning data initiatives with overall business goals and objectives. - Define long-term data strategies, including data collection, management, analysis, and usage, ensuring alignment with corporate priorities. - Identify key opportunities to leverage data as a strategic asset across the business. - Develop and maintain a roadmap for data initiatives that integrate various departments' needs (e.g., marketing, finance, operations, etc.). 3. Identify Data Governance Requirements: - Define policies and frameworks to ensure data quality, consistency, and compliance across the organization. - Frame best practices for data collection, storage, access, and utilization to ensure data integrity. - Outline solutions for metadata management including data lineage, data catalog and business glossary. - Provide recommendations regarding data privacy and security standards including specific compliance requirements (e.g., GDPR, CCPA). - Define guardrails for ethical use of data in AI initiatives. 4. Collaboration with Business Leaders: - Lead business stakeholder workshops and discussions with necessary domain knowledge. - Work with business stakeholders to understand their data needs, translate those into actionable data strategies, prioritize and ensure data solutions are aligned with business objectives. 5. Business Value Delivery: - Articulate to senior leadership regarding business value derived from the data strategy. - Build a mechanism to track and monitor effectiveness of data strategy, ensuring data initiatives deliver measurable business value. - Keep track of quantitative and qualitative benefits arising out of any consulting assignment, including downstream business opportunities. Skills and Qualifications: 1. Educational Background: Bachelor's degree in Engineering, Business Analytics, Computer Science, Information Management, or a related field. MBA (or equivalent) from a reputed institution with specialization in Operations, Supply Chain, Finance etc. 2. Technical Skills: - Knowledge of at least one business domain with the capability to conduct in-depth study of the business processes. - Strong knowledge of data modeling, data architecture, and data governance frameworks. - Proven experience in data analytics, data management and business intelligence tools. - Familiarity with data processing frameworks, such as SQL, Python, R, or other programming languages used for data manipulation and analysis. - Experience with data management platforms (e.g., Hadoop, AWS, Google Cloud Platform, or Azure). - Knowledge of data security and compliance regulations (e.g., GDPR, CCPA). - Strong ability to analyze large datasets, identify trends, and provide actionable insights. - Proven experience in identifying and developing KPIs and metrics that drive business performance. - Understanding of machine learning algorithms and GenAI tools. 3. Soft Skills: - Excellent communication skills, both written and verbal, with the ability to explain complex data insights to non-technical stakeholders. - Experience in presenting executive leadership and guiding strategic decision-making. - The ability to translate business problems into data-driven solutions that are both practical and impactful. - Strong leadership and advisory skills, with the ability to influence data initiatives across multiple teams. - Ability to work collaboratively with cross-functional teams, including business leaders, data engineers, data scientists, and IT professionals. - Comfortable working in a fast-paced, ever-evolving environment. - The ability to think strategically about how data can be used to meet business goals and drive organizational changes. - Experience in developing and implementing long-term data strategies that support business transformation. 4. Experience: - Between 12 to 20 years overall, with at least 5 years in data and analytics. - PAN India

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on , , , and . Inviting applications for the role of A ssistant Vice President - Customer Development & Merchandising ! In this role, Customer Development will be integral support who will manage Business processes, tools & update systems, data governance, and reporting that Customer Account Managers can easily understand and use. Leader with deep domain expertise and analytics experience in Retail and Merchandising. Responsibility will be across solutioning, consulting, delivery, and managed services. Responsibilities Leadership track record of setting up and managing analytics & operations in a COE / shared services model Develop and implement strategies to transform retail merchandising practices including products and processes on Assortment, placement, pricing, and promotion. Lead pilot programs and initiatives to test merchandising concepts, technologies, and processes. Minimum years of experience in retail merchandising with proven track record of driving transformational changes. Strong analytical skills and proficiency in data analysis tools and techniques. Drive transformations to ensure seamless delivery and customer experience liaising with all the relevant teams including client stakeholders, internal teams, vendors, customers etc. Design and implement process controls, continuous improvement plans, best practices, and policies to ensure top class operational performance. Intense communication with all business partners to understand their needs and support them in the most efficient way for the company . Work closely with global client&rsquos multiple cross functional teams to identify business needs, requirements and prioritize needs Creates and owns the Operations Business Plan. Lead assessments / blueprinting / due diligence for prioritization problem statements, planning offshore ability, building solution architecture. Build PoVs , help structure POCs, is client front-ending, is a story-boarder, can respond to RFP/RFIs Work on Digital Transformation (data strategy incl orchestration, Governance, Architecture, BI to build reporting/insights/analytics factory) Establish good collaborative relationships with Clients, Sales team and end Customers. Interact with internal stakeholders, Customer Managers, CCD Team, Sales Team, Category, etc. Achieve KPIs / SLAs contractually agreed Deliver Operational Excellence Framework Manage and lead calls with clients Be proactive and ensure operations are run smoothly Drive Transformation journey and improvement Proactive and Self-motivated to follow up or chase with multiple teams for pending information Ensure reporting both for client and Genpact management for Operations review- Regular and timely reporting Identify problems/issues in day-to-day Operations and resolve them proactively Highlight and escalate any issues that need attention Qualifications we seek in you! Minimum Qualifications MBA with relevant experience in a Retail environment. Flexibility to work in any shift Relevant Team leading and Management experience Good analytical mindset, problem-solving, organization skills, and attention to detail Smart problem solver - generate good ideas and practical solutions Team player, Dependable Ability to prioritize tasks and multitask when required MBA/ PG in Retail Operations/ Merchandising/ Marketing Has worked in the global Retail Operations space (relevant years of experience) with hands on experience in area of Merchandising/ Promotion/ Pricing/ Marketing/Assortment Analytics Strong exposure in ERPs - SAP, JDE, Oracle etc. Strong analytical skills with the ability to collect, organize and analyse significant amount of data with attention to detail and accuracy. Preferred Qualifications/ Skills Exposure to Retail industry in a global environment Exposure to technologies like Trade Promotions Management tool, Trade Promotions Optimizer, Forecasting tools, SAP, etc. Certification in Trade Promotions Management is an added advantage Transitions Experience- Must have transitioned 1 or more processes successfully Proficiency with Microsoft Applications - Excellent MS excel, PowerPoint skills is a must Handle large datasets - Identify, analyse , and interpret trends or patterns in complex data sets using statistical techniques and generate actionable insights Good team player and ability to manage large teams Personal drive and positive work ethic to deliver results within tight deadlines and in demanding situations Flexibility to adapt to a variety of engagement types, working hours and work environments and locations Ability to learn different analytical tools as per business requirements. Has a mix of modelling & programming experience & led analytics delivery. Design Retail Analytical solutions - Define KPIs and metrics and develop BI solutions Why join Genpact Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, our most valuable asset is our people. Here you'll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers, and consumers worldwide. ZSers drive impact by bringing a client-first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage, and passion to drive life-changing impact to ZS. At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systems - the ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. The ZS Data Office and Strategy team has two pillars. First, The ZS Data Office is dedicated to shepherding ZS Data Strategy. We work collaboratively with Clients and the Client Service Teams, Practice Areas, Expertise Centers, and Enterprise stakeholders to help drive growth and value through the compliant use of data. We build relationships and partnerships with a wide range of data providers to enable ZS access and use of the data in innovative offerings and services. Second, we advise clients on all matters related to Data Strategy. With the explosion of healthcare data and new applications, Data Strategy has emerged as a key strategic initiative for many Life Science companies. The team advises clients on data operating models, data governance, data sourcing and generation, data management, value creation, and data compliance. The Data Office Director, based in Noida (India), will oversee a local team of 10-15 people providing data advisory services to our Client Service Teams and Practice Areas. Using an in-depth understanding of the healthcare data landscape, existing data partnerships, and internal processes, he/she will lead the team in advising ZS stakeholders on the potential data options to support ZS clients and internal projects while ensuring the compliant use of data. He/she will also help deliver world-class solutions that address the development of data strategies to optimize data governance and operation, data sourcing strategy, process design, value creation and portfolio analytics, and more. This individual will have high visibility within the firm and work collaboratively with the rest of the Data Strategy team located in North and South America, Europe, as well as various practice areas. Maintain an in-depth understanding and expertise in the global healthcare data landscape, including key data assets available at ZS and through our partnerships with data vendors. Collaborate closely with ZS practices and client service team leaders to identify data needs, advise on viable data partners, determine engagement models with data partners, and related activities that contribute to the development of new ZS offerings, assets, and solutions that leverage data. Work collaboratively with the team to maintain positive relationships with data partners. Serve as a Subject Matter Expert to support teams in practice area innovation, client project proposals, client discussions, thought leadership, etc., where data expertise is needed. Partner with ZS leaders and client teams to sell and deliver Data Strategy projects for Life Science clients, including project scoping, approach definition, project management and execution, communication, people management. Define and build long-term Data Strategy assets and offerings (new capabilities, frameworks, processes, and tools); and author thought leadership content. Expand awareness, knowledge, and usage of data partnerships within the firm; communicate use cases, facilitate training, create thought leadership documents, etc. Manage and collaborate with an extended team of diverse skill sets (knowledge management, technologists, business operations, etc.). Lead, hire, and develop local team members, setting and meeting high expectations, ensuring constant skill development. Partner with the Senior Leadership team and oversee local project management i.e., Project planning, staffing management, people growth, etc. Mentor/coach junior members in the team. Adhere and supervise team members" adherence to compliance standards in all activities. Bachelor's or master's with a quantitative focus such as Life Science, Physics, Business, Analytics with strong academic performance. 10+ years of relevant job experience; prior experience in Data Strategy and Life Sciences, working with consultancy firms, life science companies, or healthcare data providers preferred. Knowledge of healthcare data and experience of its practical applications (e.g., patient-level EHR, claims, omics, data and experience with RWD/RWE projects or omics data) preferred. Empathy, adaptability, and high personal impact, with the ability to develop and maintain senior relationships; Executive level oral and written communication skills. Demonstrated ability to lead a team with consistently high standards, grow people, and collaborate successfully across geographies. Ability to translate unstructured problems into actionable processes and approaches, and ensure execution by others. Self-starter, with high motivation, maturity and personal initiative. Discipline for planning and organizing tasks for self and the team; managing competing priorities, in a fast-paced context. ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth, and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths, and collaborative culture empower you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel is a requirement at ZS for client-facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. Candidates must possess or be able to obtain work authorization for their intended country of employment. An online application, including a cover letter, is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At: www.zs.com,