146 Data Strategy Jobs

Job Requirements Role/Job Title: Business Analyst-Information Management Business: Data & Analytics Function/ Department: Data & Analytics Place of work: Mumbai Roles & Responsibilities &apos- Develop a test strategy and systematic test procedures to verify and ensure that solution meets its design specifications Displays the ability to approach existing situations and problems in a new manner and creates innovative solutions Challenges the status quo to bring about continuous improvement in performance, drives changes that would have a positive impact on the organization Works to achieve goals and objectives and shows a strong drive to follow through and complete what was started. Solid understanding of data and fields required for analysis Has an innate orientation to be aware of how one contributes to the larger vision of the Bank Develop a robust and coherent data strategy and support architectures, policies, practices and procedures that enable the Bank to manage and utilise data in an effective manner. Develop, select and apply algorithms and advanced analytical methods to enable systems to learn, improve, adapt and produce desired outcomes or tasks. Key Success Metrics &apos- Analytical tools Business cases and data analysed Show more Show less

As a Senior Data Engineer at Citigroup, you will play a crucial role in developing and implementing data analytics solutions to support key business objectives for Legal Operations as part of the Chief Operating Office. Your responsibilities will include: - Supporting Business Execution activities in the Chief Operating Office by implementing data engineering solutions to manage banking operations - Establishing monitoring routines, scorecards, and escalation workflows - Overseeing Data Strategy, Smart Automation, Insight Generation, Data Quality, and Reporting activities - Enabling proactive issue detection and alignment with firmwide Data Related policies - Building a governance framework with clear stewardship roles and data quality controls You will also work with large and complex data sets to evaluate, recommend, and support the implementation of business strategies and ensure compliance with data governance policies and regulatory requirements. Additionally, you will collaborate with a team of data engineering professionals to deliver on organizational priorities. Qualifications: - 5+ years of experience in Business Transformation Solution Design roles - Proficiency in tools/technologies like Python, PySpark, Tableau, MicroStrategy, SQL, etc. - Strong understanding of Data Transformation, Data Strategy, Data Architecture, Data Tracing & Lineage, and Scalable Data Flow Design - Experience in database management & optimization, data modeling, and AI solutions development - Knowledge of regulatory requirements related to data privacy and security - Ability to interact with senior stakeholders and impact key business drivers through analytics Education: - Bachelors/University degree in STEM, Masters degree preferred This job description provides an overview of the key responsibilities and qualifications required for the Senior Data Engineer role at Citigroup. Other job-related duties may be assigned as required. If you are a person with a disability and need a reasonable accommodation to use Citigroup's search tools and/or apply for a career opportunity, please review Accessibility at Citi. You can also view Citigroup's EEO Policy Statement and the Know Your Rights poster.,

Role Overview: As a Data Scientist IV at Oracle Cloud Infrastructure (OCI), you will be part of the OCI AI Science organization, where you will tackle thrilling challenges at the convergence of artificial intelligence and state-of-the-art cloud infrastructure. In this role, you will take charge of developing extensive datasets, utilizing machine learning, and generative AI to push forward Generative AI models. Your responsibilities will include leading the creation of benchmarking frameworks, establishing data quality and fairness best practices, and collaborating with scientists, engineers, and product leaders to influence the organization's data strategy. Key Responsibilities: - Develop large-scale datasets for leveraging machine learning and generative AI technologies - Advance Generative AI models through innovative techniques and approaches - Lead the design and implementation of benchmarking frameworks for evaluating AI models - Define and implement best practices for ensuring data quality and fairness - Collaborate with a cross-functional team of scientists, engineers, and product leaders to shape the organization's data strategy Qualifications Required: - Bachelor's degree in Computer Science, Data Science, or related field; Master's or Ph.D. preferred - Proven experience in developing and implementing large-scale datasets for machine learning applications - Strong expertise in machine learning and generative AI technologies - Proficiency in designing benchmarking frameworks and ensuring data quality and fairness - Excellent communication and collaboration skills to work effectively with cross-functional teams (Note: No additional details about the company were provided in the job description.),

Role Overview: ZS is a management consulting and technology firm that focuses on transforming ideas into impactful solutions for patients, caregivers, and consumers worldwide. As part of the team, you will collaborate with stakeholders to understand and translate business needs into data requirements, explore innovative data options, manage requests, support research initiatives, and ensure compliance standards are met. Your role will involve mentoring junior team members, driving utilization for data assets, and overseeing day-to-day activities to deliver accurate and timely information. Key Responsibilities: - Develop expertise in the global healthcare data landscape and collaborate with stakeholders to identify data requirements - Engage with data providers to address evolving business needs and explore innovative data options - Present and explain data alternatives, facilitate selection and implementation of optimal solutions, and guide stakeholders through data access processes - Manage and document requests, execute reporting tasks, and collaborate with a global team of diverse skill sets - Support research initiatives, internal projects, and marketing endeavors while ensuring seamless communication - Mentor and coach junior team members, drive utilization for data assets, and ensure adherence to compliance standards Qualifications Required: - Minimum of a Bachelor's degree with a quantitative focus (e.g., Biology, Physics, Business, Analytics) and strong academic performance - 3-4 years of relevant job experience in Data Strategy/management and Life Science preferred - Knowledge of healthcare data and practical applications, experience with RWD/RWE projects, or omics data preferred - Ability to translate unstructured problems into actionable requirements, strong communication skills, and customer service orientation - Self-starter with high motivation, maturity, and personal initiative, ability to plan and organize tasks in an unstructured environment - Capability to multi-task, manage priorities, and work in a fast-paced context Perks & Benefits: ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth, and professional development. Skills development programs, career progression options, internal mobility paths, and a collaborative culture empower you to thrive as an individual and team member. Additional Company Details: ZS provides a flexible and connected way of working, combining work from home and on-site presence for a balanced approach. The inclusive culture and innovative environment at ZS promote personal growth and professional development. The company values diversity and inclusion, encouraging individuals from varied backgrounds to apply. If you are eager to contribute, grow, and bring your unique self to work, ZS welcomes your application as an equal opportunity employer dedicated to providing advancement opportunities without discrimination. Please ensure to possess or obtain work authorization for the intended country of employment and submit an online application with transcripts for consideration.,

At Oracle Cloud Infrastructure (OCI), you will be part of a diverse team of creators and inventors shaping the future of cloud for Enterprises. Acting with the speed and attitude of a start-up, while benefiting from the scale and customer-focus of one of the world's leading enterprise software companies. - Lead the development of large-scale datasets - Utilize machine learning and generative AI to advance Generative AI models - Drive the design of benchmarking frameworks - Define best practices for data quality and fairness - Partner with scientists, engineers, and product leaders to shape the organization's data strategy No additional details about the company are provided in the Job Description.,

As a Master Data Management (MDM) Architect at Fortrea, your role will involve shaping the future of the global data ecosystem. You will be a strategic data leader with a passion for data governance, canonical modeling, and MDM platform architecture. This high-impact role is ideal for someone with deep data strategy experience and a passion for building future-proof platforms. **Key Responsibilities:** - Support the Product Owner, Data Quality, Governance, and MDM in defining the long-term technology vision for MDM, and interact with appropriate vendors and third parties - Act as the ARB representative for the MDM Platform, serving as the initial point of contact for inquiries related to the impact of specific projects on the state of the MDM platform - Keep up to date with all key decisions related to canonical data modeling for master data - Support the Head of Data Platform Architecture in properly modeling Enterprise Data assets and defining, documenting, and maintaining all architectural standards, policies, and best practices for the MDM platform - Lead the design of all matching rules for MDM - Act as the MDM consultant for cross-program and cross-project technology strategies - Define the enterprise MDM Platform technology vision tailored to Fortrea business needs, documenting such vision in multiple ways for different stakeholders and audiences - Stay informed about the latest trends in the field of MDM through formal and informal learning, industry group participation, and conference attendance - Collaborate with other architects in the data space to ensure a coherent approach to data architecture for Fortrea - Advocate for the agreed-upon data technology choices of the enterprise - Build relationships and work collaboratively with individuals within the enterprise, external vendors, and customers - Informally lead, manage, and motivate team members to support objectives and mission, and achieve set goals - Maintain an up-to-date repository of all technical debt in your area - Tackle problems creatively using colleague networks and publicly available solutions, work independently in a matrix environment, and manage multiple tasks simultaneously - Work in a fast-paced, team-oriented, and self-directed entrepreneurial environment - Think strategically, communicate a vision, and drive results - Be detail-oriented, highly organized, with a strong business/technical acumen - Possess excellent verbal and written communication skills, an innovative approach to problem-solving, and a strong work ethic - Coordinate with other enterprise governance teams to ensure compliance with standards and regulations - Perform any other duties as needed or assigned **Qualifications:** - Bachelor's degree in Computer Science, Information Technology, or a related field **Experience:** - At least 5 years of experience as a Data Platform leader - At least 10 years of IT Leadership in the data strategy space - Proficiency with Profisee, Informatica MDM, or Reltio - Experience with cloud platforms like Azure (preferred), AWS, or Google Cloud **Additional Company Details:** Fortrea is a remote work environment. If you believe you have the required qualifications and experience to excel in this role, we encourage you to apply and be a part of shaping the future of our global data ecosystem at Fortrea.,

Join our team in Technology Strategy for an exciting career opportunity to enable our most strategic clients to realize exceptional business value from technology Practice: Technology Strategy & Advisory, Capability Network I Areas of Work: Tech M&A, Digital, Cloud, IT Strategy I Level: Manager | Location: Bangalore/Gurgaon/Mumbai/Pune/Chennai/Hyderabad/Kolkata | Years of Exp: 10 to 15 years 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 Technology Strategy & Advisory. The Practice- A Brief Sketch: The Technology Strategy & Advisory Practice is a part of and focuses on the clients most strategic priorities. We help clients achieve growth and efficiency through innovative R&D transformation, aimed at redefining business models using agile methodologies. We provide you with a great learning ground, deep-rooted in , where you will get an opportunity to advice and work with our key global clients, driving end-to-end transformative strategic value and business growth. As a part of this high performing team, these are some of the initiatives you will drive: Transaction Advisory and Strategy (Tech): Lead and support M&A transactions (Carve Outs / Separation / Mergers/ Integrations) with a focus on the technology sector, including IT infrastructure, software, cybersecurity, cloud computing, SaaS, AI, and emerging tech trends. IT Due Diligence and Financial and Financial Analysis: Manage and lead IT due diligence processes, evaluating financial, operational, technological, and legal aspects of technology companies / organizations being considered for acquisition. Industry & Technology Infrastructure Assessment: Understanding of client technology operations to grasp the context of global, industry, economic, technology, and social trends Draw Roadmaps for IT implementations: Pinpoint the right data-driven Digital, IT or Cloud technology strategy solutions for practical implementation road maps Monitor Digital, IT & Cloud Strategy: Managing change, monitoring, and gauging processes, and taking remedial steps Bring your best skills forward to excel in the role: Leverage your deep experience across technology strategy areas such as tech M&A Advisory, IT Separation / Integration Planning / Execution, Digital & Technology Strategy, Operating Model Design, Agile Operating Model Design, Workforce Transformation, Sourcing Strategy, IT Shared Services Strategy, Process Transformation, Value case/ business case formulation, Enterprise Architecture and Application Portfolio Strategy Excel as a long-term trusted advisor and partner by providing thought leadership and profound knowledge of market trends. Understand and deploy the key value drivers of a business , how they impact the scope and approach of the engagement Create expert content and use advanced presentation, public speaking, content creation and communication skills for C-Level discussions. Demonstrate strong understanding of a specific industry , client or technology and function as an expert to advise senior leadership. Manage budgeting and forecasting activities and build financial proposals Qualification Your experience counts! MBA from a tier 1 institute Your prior experience- 5-8 years of M&A Advisory, Strategy Consulting or Investment banking experience Experience in the example offerings:M&A advisory (tech), Separation planning & execution, Integration Planning & Execution, IT Due Diligence, Experience in at least 2 of the example offerings:Tech Strategy, Tech Operating Models, IT Shared Services Strategy, Cloud Transformation, Industry & New Technology, Technology ROI/Cost Take Out, Modern Architecture, Data-Driven Enterprise 3+ years of experience in financial modeling, valuation analysis, scenario testing and writing business cases (quantitative and qualitative) to support strategic business initiatives, process improvement initiatives, or IT transformation 2+ years of experience leading or managing large teams effectively including planning/structuring analytical work, facilitating team workshops, and developing technology strategy recommendations Good knowledge of technology and enterprise architecture concepts through practical experience and knowledge of technology trends e.g. Mobility, Cloud, Digital, Collaboration A strong understanding in any of the following industries is preferred:Financial Services, Retail, Consumer Goods, Telecommunications, Life Sciences, Transportation, Hospitality, Automotive/Industrial, Mining and Resources or equivalent domains Exposure to industry frameworks e.g. TOGAF, DODAF desirable but not essential.

At Kroll, your work will help deliver clarity to our clients most complex governance, risk, and transparency challenges. Apply now to join One team, One Kroll . RESPONSIBILITIES: Design and apply methodologies to process and govern data assets for the client in a transaction or value creation opportunity Able to build frameworks and models to implement data strategy components including but not limited to data governance, data quality, data monetization, data consumption and enterprise data management Ability to perform maturity assessments on data management capabilities and operating models of the client; and advise on tools and roadmaps to implement them Build and implement cloud / on-prem solutions to help with data driven decision intelligence this may entail working on complex ELT (extract, load, transform) techniques leading to modern data warehouse / data mart setup and establishing a business intelligence layer on it Able to handle large data volumes using most latest techniques and data tools Work on buy /sell-side due diligence engagements; with a strong understanding of sector and functions to be able to identify value creation opportunities for analytics application Hands on deliver and manage mid to large size deals and ensure smooth delivery on assigned engagements, products with regions Ability to communicate effectively with cross functional teams across regions and coordinate b/w the core functional and technology teams Stakeholder management and experience of leading mid market deals from analytics point Preparation of demo tools to a standard that can be shared directly with clients Direct client engagement both on pre-sales activities, competitive pursuit / presentation situations and client engagement delivery. Review of technical work of junior colleagues Coaching and development of junior colleagues A strong work initiative, high-energy level, and ability to adapt to new challenges and concepts, including a proactive approach and capacity to perform multiple workstreams and tasks A desire and ability to travel while working within the transaction advisory, financial accounting advisory and mergers and acquisition-oriented environment Experience of assisting clients with building business cases and identifying value using data-driven approaches and business intelligence Ability to work both independently and as part of a team, including robust communication skills Strong financial, accounting, analytical and communication skills, facilitating clear and concise messaging to teammates, clients and other technology personnel Advise stakeholders on relevant technical issues for their business area Uphold the firms code of ethics and business conduct. REQUIREMENTS: Minimum of 8-12 years related work experience in Data Engineering / Business Intelligence areas, developing and implementing data as an asset service and end to end integrated BI tools to deliver key insights on projects 5+ years of proven experience working on MS Azure (preferred) services Azure Data Factory, Azure Data Explorer, Storage, Azure Data lake, Synapse Analytics, Azure Analysis services and Databricks Strong working experience using business intelligence tools (PowerBI, Alteryx, Tableau etc) with familiarity of advanced techniques of Geo Spatial analysis and dashboarding through inbuilt or specific tools like Azure Maps, ArcGIS etc Experience in MS Azure based deployment with foundational knowledge of Azure Cognitive Services to provide an interlock for the Data Science pillar Ability to program using Python, NoSQL, PL/SQL Strong understanding of BI practices, analysis, visualization and latest trends Basic awareness on statistical techniques like linear and non-linear regressions / classification and optimization areas Working knowledge of data orchestration, ingestion, ELT, data design patterns and reporting architecture for both on-prem and cloud (MS Azure preferred) Strong experience in Merger & Acquisition domain areas like due diligence, deal structuring, financial reporting, value creation and post-merger phases A Bachelor s degree in Engineering from tier 1 college (Master s in Business / domain would be nice to have) Experienced in programming, business intelligence (BI) and enterprise resource systems, including data collection, analysis and presentation: Analytics and data Platforms (AWS, Azure, Snowflake any one or more of these, preferred Azure) Businesss Intelligence layer (PowerBI, Tableau etc must have) Programming languages (Python good to have) Superior analytical and problem-solving skills Excellent interpersonal and client relationships skills Strong written and verbal communication skills Dedication to teamwork Proficiency in Microsoft Office, with focus on Word and Excel Ability to adapt to ever changing client demands Flexibility to travel, as needed Supervisory experience, willingness to mentor team members and contribute towards scaling up the practice. TECHNICAL Requirements: Should have understanding on one more industry / sectors and associated KPIs from a transaction lens; across the entire deal life cycle Analyzing cyclicality of target s business and working capital trends Analyzing quality of earnings and non-recurring items Able to run business performance management techniques including financial reporting, scenario and optimization models Participating in discussions held with Management to determine data analytics needs, data requests and potential impacts on the buy-side/sell-side diligence process, as well as prospective on-going projects

At Kroll, your work will help deliver clarity to our clients most complex governance, risk, and transparency challenges. Apply now to join One team, One Kroll . RESPONSIBILITIES: Apply proprietary and industry leading methodologies to process and govern data assets for the client in a transaction or value creation opportunity Able to implement frameworks and models covering data strategy components including but not limited to data governance, data quality, data monetization, data consumption and enterprise data management Build and implement cloud / on-prem solutions to help with data driven decision intelligence this may entail working on mid to high complex ELT (extract, load, transform) techniques leading to modern data warehouse / data mart setup and establishing a business intelligence layer on it Able to handle large data volumes using most latest techniques and data tools Work on buy /sell-side due diligence engagements; and implementing value creation opportunities for analytics application Hands on deliver mid to large size deals and ensure smooth delivery on assigned engagements, products with regions Ability to communicate effectively with cross functional teams across regions Direct client engagement delivery. A strong work initiative, high-energy level, and ability to adapt to new challenges and concepts, including a proactive approach and capacity to perform multiple workstreams and tasks A desire and ability to travel while working within the transaction advisory, financial accounting advisory and mergers and acquisition-oriented environment Assisting clients with building solutions to unlock value using data-driven approaches and business intelligence Ability to work both independently and as part of a team, including robust communication skills Good exposure on financial, accounting, analytical and communication skills, facilitating clear and concise messaging to teammates, clients and other technology personnel Uphold the firms code of ethics and business conduct. REQUIREMENTS: Minimum of 3-5 years related work experience in Data Engineering / Business Intelligence areas, developing and implementing data as an asset service and end to end integrated BI tools to deliver key insights on projects 2+ years of proven experience working on MS Azure (preferred) services Azure Data Factory, Azure Data Explorer, Storage, Azure Data lake, Synapse Analytics, Azure Analysis services and Databricks Strong working experience using business intelligence tools (PowerBI, Alteryx, Tableau etc) with familiarity of advanced techniques of Geo Spatial analysis and dashboarding through inbuilt or specific tools like Azure Maps, ArcGIS etc Awareness of MS Azure based deployment with foundational knowledge of Azure Cognitive Services to provide an interlock for the Data Science pillar Ability to program using Python, NoSQL, PL/SQL Good understanding of BI practices, analysis, visualization and latest trends Basic awareness on statistical techniques like linear and non-linear regressions / classification and optimization areas Awareness of data orchestration, ingestion, ELT, data design patterns and reporting architecture for both on-prem and cloud (MS Azure preferred) Experienced in Merger & Acquisition domain areas like due diligence, deal structuring, financial reporting, value creation and post-merger phases A Bachelor s degree in Engineering from tier 1 college (Master s in Business / domain would be nice to have) Experienced in programming, business intelligence (BI) and enterprise resource systems, including data collection, analysis and presentation: Analytics and data Platforms (AWS, Azure, Snowflake any one or more of these, preferred Azure ) Businesss Intelligence layer (PowerBI, Tableau etc must have ) Programming languages (Python good to have ) Superior analytical and problem-solving skills Excellent interpersonal and client relationships skills Strong written and verbal communication skills Dedication to teamwork Proficiency in Microsoft Office, with focus on Word and Excel Ability to adapt to ever changing client demands Flexibility to travel, as needed TECHNICAL Requirements: Desire to grow into a techno-functional consultant role Able to run business performance management techniques including financial reporting, scenario and optimization models Participating in discussions held with Management to determine data analytic needs, data requests and potential impacts on the buy-side/sell-side diligence process, as well as prospective on-going projects

As a Senior Data Engineer in the Analytics & Information Management (AIM) team located in Gurugram, your role will be crucial in developing and implementing data analytics solutions to support key business objectives for Legal Operations within the Chief Operating Office (COO). Your responsibilities will include: - Supporting Business Execution activities in the Chief Operating Office by implementing data engineering solutions to manage banking operations - Establishing monitoring routines, scorecards, and escalation workflows - Overseeing Data Strategy, Smart Automation, Insight Generation, Data Quality, and Reporting activities - Enabling proactive issue detection, escalation workflows, and alignment with firmwide Data Related policies - Building a governance framework with clear stewardship roles and data quality controls - Interface between business and technology partners for digitizing data collection and performance generation - Communicating findings and recommendations to senior management - Staying current with the latest trends and technologies in analytics - Ensuring compliance with data governance policies and regulatory requirements - Setting up a governance operating framework to enable operationalization of data domains - Working with large and complex data sets to evaluate, recommend, and support the implementation of business strategies - Identifying and compiling data sets using tools like SQL and Access to help predict, improve, and measure the success of key business outcomes - Implementing rule-based Data Quality checks across critical data points - Developing and executing the analytics strategy for Data Ingestion, Reporting, and Insights Centralization - Working as a senior member in a team of data engineering professionals Qualifications required for this role include: - 5+ years of experience in Business Transformation Solution Design roles with proficiency in tools/technologies like Python, PySpark, Tableau, MicroStrategy, SQL etc. - Strong understanding of Data Transformation, Data Strategy, Data Architecture, Data Tracing & Lineage, and Scalable Data Flow Design - Conceptual, logical, and physical data modeling expertise - Proficiency in relational and dimensional data modeling techniques - Expertise in database performance tuning and optimization - Experience in developing and deploying AI solutions in partnership with Tech and Business - Knowledge of regulatory requirements related to data privacy and security - Ability to interact with senior stakeholders across the organization to manage end-to-end conceptualization & implementation of data strategies Education required for this role: - Bachelors/University degree in STEM, Masters degree preferred Please note that this job description provides a high-level overview of the types of work performed. Other job-related duties may be assigned as required. If you are a person with a disability and need a reasonable accommodation to use search tools and/or apply for a career opportunity, please review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.,

The position of MACS Marketing Automation Lead will be located within MACS INDIA (Marketing & Creative Services), which is the Group-wide Marketing & Communications shared services organization. MACS provides services ranging from Marketing to campaign management, social analytics, content creation, and creative design for all of the Capgemini Group. As a MACS Marketing Automation Lead, your main responsibilities will include setting the direction, driving the business forward in collaboration with MACS business leads, embodying our values and behaviors, and mentoring junior team members. You will be an integral part of a growing team of approximately 30 Marketing Automation and marketing communication professionals. Your role will involve collaborating with Global Onsite Stakeholders to develop campaign strategies for executing Go To Market campaigns. You will be expected to provide insights on strategic and tactical decisions related to campaign planning, customer segmentation, and revenue goals alignment with country-specific GTM plans and Group Priorities. Managing the development and execution of campaigns for account-based marketing, lead generation, lead nurturing, and demand creation programs using platforms like Salesforce.com and Pardot will be a key aspect of your responsibilities. As a Subject Market Expert, you will proactively advise Stakeholders on enhancing their marketing processes by leveraging marketing automation and CRM systems. Additionally, you will be responsible for performing analytics on campaigns to demonstrate success, including segmentation and targeting based on project requirements. Collaborating with Onshore Marketing Managers to define metrics, track, analyze, and report on overall campaign performance will also be part of your role. In this position, you will define and implement new marketing automation methodologies to optimize efficiency and work closely with other Digital Channel Management teams to plan integrated customer journey programs. You will collaborate with creative teams to design responsive emails, templates, and websites, ensuring effective communication with colleagues and CRM/Demand Generation Operations to drive the Lead Management Process. Moreover, you will develop and maintain a long-term data strategy in alignment with stakeholders, ensuring database integrity and synchronization of marketing systems. The ideal candidate for this role should have 9-12 years of experience in developing and implementing Campaign Management & Marketing automation strategies. Advanced knowledge of campaign management utilizing CRM and marketing automation platforms is essential, along with hands-on experience in tools like Pardot, Marketo, Eloqua, Hubspot, and Salesforce CRM. Certifications in Marketing Automation and CRM systems would be advantageous. Strong client communication, stakeholder management, and problem-solving skills are required to analyze complex requirements effectively. Knowledge of multi-channel Campaign Management, current Martech tools, and proficiency in Microsoft Office suite, especially Excel and PowerPoint, are necessary for this role. A solid understanding and enthusiasm for consulting, digital, innovation, and technology domains are also desired traits.,

Develop and implement an end-to-end data strategy covering both internal and external sources (e.g., CRM, MAP, Product Entitlements, Success, Web, etc.) and lead data management, data governance, and business analytics data pipelines Define in partnership with corporate IS; business requirements Master Data Management (MDM) solutions, including data warehouse/data lake implementations to ensure a single source of truth across multiple data sources Implement and enable cross functional data governance processes for management of data products and information solutions Collaborate closely with Finance, Market Insights, IT, Marketing, Sales, Success, and other internal teams to integrate data into a single platform Function as business lead responsible for translating business challenges into technical solutions. Lead new data acquisition efforts and negotiate with third parties to access data. Proactively manage vendor relationships, oversee contract negotiations, acquire data, and define formats Develop and implement Data Quality Management (DQM) processes to ensure timely, accurate, and complete data is delivered to relevant stakeholders Build data marts to enable advanced analytics and support enterprise-wide business intelligence systems for self-service analytics, and data visualization (Domo/PowerBI) Ensure adherence to regulatory standards and compliance requirements related to claims data analysis and reporting Stay abreast of the latest industry trends, advancements, and best practices in data management, and data sciences. Requirements: Bachelors degree Computer Science, Statistics, Business, Mathematics, or a related field; advanced degree in similar technical discipline is a plus 2-3 years of experience in commercial data management roles in a SaaS company Project management skills with the ability to oversee multiple large scale technical projects and deliver on budget and on time Ability to connect data to the overarching business questions and understand the link between go to market strategy and data integration efforts Familiarity with data analytics, data visualization, and machine learning Experience with cloud-based data solutions (AWS, Azure, Snowflake) Innovative mindset with the ability to take a creative approach to best meet the needs of both customers and AECO

Develop and implement an end-to-end data strategy covering both internal and external sources (e.g., CRM, MAP, Product Entitlements, Success, Web, etc.) and lead data management, data governance, and business analytics data pipelines Define in partnership with corporate IS; business requirements Master Data Management (MDM) solutions, including data warehouse/data lake implementations to ensure a single source of truth across multiple data sources Implement and enable cross functional data governance processes for management of data products and information solutions Collaborate closely with Finance, Market Insights, IT, Marketing, Sales, Success, and other internal teams to integrate data into a single platform Function as business lead responsible for translating business challenges into technical solutions. Lead new data acquisition efforts and negotiate with third parties to access data. Proactively manage vendor relationships, oversee contract negotiations, acquire data, and define formats Develop and implement Data Quality Management (DQM) processes to ensure timely, accurate, and complete data is delivered to relevant stakeholders Build data marts to enable advanced analytics and support enterprise-wide business intelligence systems for self-service analytics, and data visualization (Domo/PowerBI) Ensure adherence to regulatory standards and compliance requirements related to claims data analysis and reporting Stay abreast of the latest industry trends, advancements, and best practices in data management, and data sciences. Requirements: Bachelors degree Computer Science, Statistics, Business, Mathematics, or a related field; advanced degree in similar technical discipline is a plus 2-3 years of experience in commercial data management roles in a SaaS company Project management skills with the ability to oversee multiple large scale technical projects and deliver on budget and on time Ability to connect data to the overarching business questions and understand the link between go to market strategy and data integration efforts Familiarity with data analytics, data visualization, and machine learning Experience with cloud-based data solutions (AWS, Azure, Snowflake) Innovative mindset with the ability to take a creative approach to best meet the needs of both customers and AECO

Develop and implement an end-to-end data strategy covering both internal and external sources (e.g., CRM, MAP, Product Entitlements, Success, Web, etc.) and lead data management, data governance, and business analytics data pipelines Define in partnership with corporate IS; business requirements Master Data Management (MDM) solutions, including data warehouse/data lake implementations to ensure a single source of truth across multiple data sources Implement and enable cross functional data governance processes for management of data products and information solutions Collaborate closely with Finance, Market Insights, IT, Marketing, Sales, Success, and other internal teams to integrate data into a single platform Manage a team of 3-5 data operations professionals. Function as business lead responsible for translating business challenges into technical solutions. Lead new data acquisition efforts and negotiate with third parties to access data. Proactively manage vendor relationships, oversee contract negotiations, acquire data, and define formats Develop and implement Data Quality Management (DQM) processes to ensure timely, accurate, and complete data is delivered to relevant stakeholders Build data marts to enable advanced analytics and support enterprise-wide business intelligence systems for self-service analytics, and data visualization (Domo/PowerBI) Ensure adherence to regulatory standards and compliance requirements related to claims data analysis and reporting Stay abreast of the latest industry trends, advancements, and best practices in data management, and data sciences. Requirements: Bachelors degree Computer Science, Statistics, Business, Mathematics, or a related field; advanced degree in similar technical discipline is a plus 5-7 years of experience in commercial data management roles in a SaaS company 3-5 years of direct people management experience. Project management skills with the ability to oversee multiple large scale technical projects and deliver on budget and on time Ability to connect data to the overarching business questions and understand the link between go to market strategy and data integration efforts Familiarity with data analytics, data visualization, and machine learning Experience with cloud-based data solutions (AWS, Azure, Snowflake) Innovative mindset with the ability to take a creative approach to best meet the needs of both customers and AECO

As a Salesforce Technical Architect at CRM Landing Software, a Salesforce Summit Partner, Authorized Consulting Partner, and AppExchange Partner, you will play a crucial role in solution design, technical governance, and implementing complex Salesforce programs. Your responsibilities will include defining Salesforce architecture roadmaps, designing and implementing DevOps strategies, leading data migration initiatives, and ensuring high-performance solutions aligned with Salesforce best practices. You will be involved in end-to-end solutioning across various Salesforce clouds such as Sales Cloud, Service Cloud, Experience Cloud, Marketing/Integration Clouds, and custom applications. Your expertise in Salesforce architecture, DevOps, CI/CD pipelines, data strategy, and integrations will be key to driving success in this role. Your role as a Technical Architect will require you to provide hands-on guidance to development teams on Apex, Lightning Web Components (LWC), Visualforce, and configuration best practices. Additionally, you will lead data migration strategies, define integration approaches, and optimize code and system performance to handle enterprise-scale transactions effectively. To excel in this position, you should have proven experience as a Salesforce Technical Architect on large-scale enterprise Salesforce implementations. Strong expertise in Salesforce architecture, multi-cloud strategy, DevOps, CI/CD pipeline management, and data modeling is essential. Your ability to lead and mentor teams while staying hands-on will be crucial to ensuring architectural integrity and compliance with governance, security, and performance standards. If you possess Salesforce Architect certifications (Application Architect, System Architect, or CTA) and hold a Bachelors or Masters degree in Computer Science, IT, or a related field, we encourage you to join us in empowering businesses with cutting-edge technology and transformative solutions.,

NTT DATA is looking for an Insurance Business Domain Architect to join their team in Bangalore, Karnataka, India. As a Data & Analytics Business Domain Architect, you will play a crucial role in bridging the gap between data-driven insights and business strategy across various sectors such as Insurance, Banking, Finance, Manufacturing, and Energy. Your responsibilities will include designing and implementing business and data architecture strategies to ensure that data aligns with the company's business goals and industry-specific regulations. Key Responsibilities: 1. Business & Data Strategy Design: - Insurance: Define a data strategy supporting key processes like claims management and underwriting. - Banking & Finance: Architect solutions integrating data from various functions for informed decision-making. - Manufacturing: Design data solutions for optimizing production processes and inventory management. - Energy: Develop a unified data architecture supporting energy production and consumption. 2. Aligning Business Needs with Data Architecture: - Understand business stakeholders" goals and translate them into data architecture requirements. - Design data flows supporting processes such as customer segmentation and production planning. 3. Business-Centric Analytics Solutions: - Implement data analytics solutions for policyholder insights, risk assessment, and predictive modeling. - Leverage data for business intelligence, operational efficiency, and predictive maintenance. 4. Data Integration with Business Applications: - Lead seamless integration between ERP systems, CRM tools, and data platforms in your domain. - Ensure smooth integration of financial data systems, fraud detection, and compliance reporting. NTT DATA is a global innovator of business and technology services, serving 75% of the Fortune Global 100. With experts in over 50 countries, NTT DATA is committed to helping clients innovate, optimize, and transform for long-term success. As a leading provider of digital and AI infrastructure, NTT DATA is dedicated to moving organizations confidently into the digital future. Visit us at us.nttdata.com.,

NTT DATA is looking for an AI Presales Solution Architect to join their team in Bangalore, Karnataka, India. As a part of this inclusive and forward-thinking organization, you will be responsible for the overall experience in Data and Analytics, with a minimum of 12 years. Your role will involve working as a presales solutions architect for more than 5 years, handling End to End presales solutioning for data projects valued at more than $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 responsibilities will include creating Value preposition, Resource loading, estimations, Project delivery timeline, and transforming client problems/needs into planned deliverables with quick and long-term wins. The ideal candidate should have experience in client presentation (storytelling) and the ability to work independently on Presales RFP/RFI in Data, analytics, and AI/GenAI Area. Additionally, proficiency in one of the hyperscale clouds like Azure, AWS, or GCP, Databricks, Snowflake, and ETL tools is required. NTT DATA is a trusted global innovator of business and technology services, serving 75% of the Fortune Global 100. As a Global Top Employer, NTT DATA has diverse experts in more than 50 countries and a robust partner ecosystem. The company's services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation, and management of applications, infrastructure, and connectivity. If you are passionate about Data and Analytics and have a strong background in presales solutions architecture, apply now to be a part of NTT DATA's dynamic team and contribute to long-term success in the digital future.,

As the USPB Data Lending Domain lead within Citis Analytics & Information Management (AIM) group, you will be responsible for overseeing team expansion within tight timelines, developing standardized and measurable delivery frameworks, and ensuring the achievement of business priorities for the year. Your leadership will play a crucial role in bringing agility, consistency, speed of deployment, innovation, and governance processes through a centralized and extensive analytics-driven framework. This highly visible and challenging role directly impacts the banks Consent Order milestones and commitments. In this role, you will have the opportunity to manage the implementation of best-in-class data quality measurement programs across the globe. Your key responsibilities will include supporting regulatory programs such as CCAR and AML, designing metrics, implementing data governance standards, publishing scorecards, managing issue resolution, providing audit support, and ensuring compliance with automation solutions. You will work closely with business stakeholders to set team priorities, establish clear delivery plans, and outcomes. Additionally, you will be tasked with expanding the team into a multi-site model, ensuring adherence to standard technology-approved methodologies, expanding the scope of data quality, and driving comprehensive data governance for assigned products and regions. To be successful in this role, you should possess an MBA or Masters Degree in relevant fields such as Economics, Statistics, Mathematics, Information Technology, or Engineering. You should have at least 15 years of experience in financial services technology, data governance, and delivery management, along with strong analytical and business skills. Experience with SQL queries, data analysis, data visualization tools like Tableau, and formal data governance within a global company are highly desirable. Your ability to lead, problem-solve, make decisions, and operate in a fast-paced environment will be crucial. Strong communication skills, negotiation abilities, organization skills, attention to detail, and a collaborative mindset are essential for this role. You must also demonstrate independence, good judgment, versatility, and a willingness to work with changing priorities. If you are a person with a disability requiring accommodation to utilize search tools or apply for a career opportunity, please review Accessibility at Citi. You can also refer to Citis EEO Policy Statement and the Know Your Rights poster for further information.,

As the Chief Technology Officer at Tap Health, you will play a pivotal role in leading our engineering and AI efforts to drive the development of our cutting-edge AI-driven healthcare platform. You will be responsible for building consumer and B2B applications, creating APIs for third-party services, and ensuring seamless integration within the broader healthcare ecosystem. Your vision and leadership will be crucial in enhancing early illness detection, improving personalization, and delivering better healthcare outcomes through AI and data strategy. Key Responsibilities: - Lead and manage a team of engineers, setting clear goals and priorities. - Collaborate with cross-functional teams to identify growth opportunities and prioritize initiatives. - Rapidly prototype proof-of-concept stage projects. - Oversee project planning, team allocation, and task delegation. - Develop high-quality, scalable, and reliable software solutions. - Establish and track key performance indicators (KPIs) to measure the impact of growth initiatives. - Stay updated with the latest trends and best practices in growth hacking and apply them to our products. Requirements: - Bachelor's degree in Computer Science or related field. - 10-15 years of relevant experience in a senior technology leadership role in a consumer Internet/product business. - Strong exposure to frontend, backend, and infra engineering. - Proficiency in AI and machine learning technologies, with prior experience in building on AI being advantageous. - Good technical skills, including programming languages/technologies, cloud architecture, security, and privacy. Join us at Tap Health and be part of a team that is revolutionizing chronic care management with AI, making healthcare more accessible and personalized for millions. Lead with innovation, drive technological advancement, and contribute to improving healthcare outcomes through cutting-edge technologies and methodologies.,

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. Job Responsibilities: - Support the evolution and development of the Data Owner and Data Governance framework - Maintain and develop standards and procedures related to Data Governance. Support regulatory, compliance, and audit requests - Drive defining program requirements and deliverables for tools and metrics by identifying, driving, and participating in project milestones and phases, as well as specific action items - Coordinate the execution activities, partnering with Technology and LOB/CF Chief Data Officer teams. Develop risk or operational metrics to facilitate oversight - Develop effective presentations and project update materials suitable for senior executives - Actively participate and collaborate in work stream meetings and ad hoc working sessions including driving agendas, preparing meeting minutes, and keeping track of agreed actions. Monitor the details and status of the project and escalate and resolve any project issues in an efficient manner - Develop training material, including online training courses to support education and tooling Required qualifications, capabilities, and skills: - Formal training or certification on Data Management concepts and 5+ years applied experience - Hands-on in writing and editing Standards, Control Procedures, Guidelines, and Training materials - Experience of Agile Development methodologies; partnering with Development teams to deliver tools and solutions - Excellent communication skills (oral and written), interpersonal, and the ability to work effectively in cross-functional teams - Ability to manage complexity and multiple work streams while delivering solutions within a tight deadline - Excellent project management and organizational skills, with the ability to manage multiple deliverables and work simultaneously - Proficient with project management tools and Microsoft Office skills, including Microsoft Excel, Word, and PowerPoint Preferred qualifications, capabilities, and skills: - Knowledge of data management and governance is preferred - Bachelor's degree in Business, Finance, Economics, or another related area - Familiar in Developing or maintaining Risk, Program, or Operational Metrics - Familiar with Tableau/visualization/workflow automation tools.,

As a Data Design Analyst within the CIB Data Management Data function of Standard Chartered, your primary responsibility is to support the Data team in various data management and change management activities. Your role involves overseeing data profiling design, development, and release, creating reference guides and training materials, conducting data training sessions for relevant audiences, and developing data communication strategies and content. You will play a crucial role in understanding and ensuring compliance with Group Data Management Standards, as well as other relevant policies and standards related to data. It is essential for you to align all changes with the Group Data Management Standards, CIB Data Standards, and Principles to achieve the required business goals. Collaborating with key stakeholders, including the Head of CIB Data and other senior management, is integral to your role. In addition to being the primary point of contact for data profiling, data communication, and data education-related inquiries, you will provide guidance and support to stakeholders on all matters concerning CIB Data Management. Working closely with various teams and departments, such as the Data Profiling team and Client Coverage COO Communication team, is essential for successful collaboration and implementation of data management strategies. Your responsibilities also include identifying data profiling requirements from change initiatives, maintaining relevant process documents, and demonstrating proficiency in data analysis tools such as Alteryx, Dataiku, or Informatica. Strong problem-solving and analytical skills, along with excellent communication abilities, are key attributes required for this role. Furthermore, you will be responsible for identifying risks and issues, ensuring appropriate mitigation plans are in place, and adhering to all relevant policies and guidelines. Your commitment to regulatory and business conduct, as well as displaying exemplary behavior in line with the Group's values and Code of Conduct, is essential. In summary, as a Data Design Analyst at Standard Chartered, you will be part of a dynamic team focused on driving commerce and prosperity through data management excellence. Your role will involve collaborating with key stakeholders, ensuring compliance with data standards and policies, and contributing to the overall success of the CIB Data Management function.,

As an integral part of ABB, you will have the opportunity to contribute to addressing global challenges while embodying our core values of care, courage, curiosity, and collaboration. By focusing on diversity, inclusion, and equal opportunities, you will play a crucial role in empowering individuals to create sustainable solutions. Reporting to the Head of Integrated Reporting Tools, you will take on the responsibility of designing integrated reports and dashboards within the FP&A and R2R areas. These reports, utilized by both global and local business users, will be developed using SAP BW/4HANA, SAC, and Non-SAP technologies to support ABB's Finance organization for both Management and external reporting purposes. In this role, you will be tasked with defining and maintaining the design of all management reporting reports and dashboards, in collaboration with the wider Finance process data, systems, and IS teams at ABB. Working closely with the Lead Data Architect Integrated Reporting and 1-2 Junior Functional Analysts, you will provide functional expertise and guidance in various areas: - Building functional architecture design and specifications, including data frameworks for ABB's management reporting landscape. - Analyzing data, interpreting results, and offering guidance to delivery teams. - Guiding the development of reports and dashboards using best practices and intuitive visualization. - Applying innovation and creativity while balancing time-to-market, costs, performance, scalability, and long-term technology stability. - Collaborating with business process owners to define new data requirements, collection processes, and analysis methods. - Keeping functional designs up to date with evolving business demands and needs. - Prioritizing business and domain/functional use-cases to design solutions that meet business requirements. - Managing the functional design of user-friendly analytics insights through continuous solutions delivery and feedback. - Ensuring customer-centricity and service excellence for internal stakeholders, peers, and customers. To qualify for this role, you should possess: - A Master's degree in finance, computer science, or a related field. - A minimum of 10 years of experience in FP&A and/or R2R business process areas within large multinational corporations, with a focus on analytics and data modeling in cloud environments. - Proficiency in accounting principles, utilizing a single Chart of Accounts and applying US and local GAAP treatments. - Familiarity with IT processes, agile delivery, and working within cross-functional teams. - Strong problem-solving skills with an emphasis on product development. - Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and derive insights from large datasets. - Excellent written and verbal communication skills for effective coordination across teams. - A drive to continuously learn and master new technologies and techniques. Join us at ABB and take the next step in your career. Explore the impact of our solutions globally by visiting www.abb.com today. #MyABBStory,

Techvantage Analytics is a fast-growing AI services and product engineering company specializing in Analytics, Machine Learning, and AI-based solutions. We are seeking a forward-thinking and highly experienced Gen AI Architect to design and implement cutting-edge AI solutions. The role involves leveraging the latest advancements in artificial intelligence and data science, including foundation models, multimodal AI, federated learning, and emerging AI frameworks. The ideal candidate will drive the development and deployment of scalable AI systems that power innovative applications across diverse domains. In this role, you will be responsible for AI Architecture Design, where you will develop robust architectures for generative AI solutions, leveraging the latest advancements in foundation models, large language models (LLMs), and multimodal AI. You will also be involved in Model Development, building and fine-tuning advanced generative models, such as GPT-based models, diffusion models, and transformers, for applications in text, image, video, and audio generation. Framework Integration is another key aspect of the role, where you will integrate modern AI frameworks, such as LangChain and LlamaIndex, to enhance the capabilities of generative models in production environments. Additionally, you will be tasked with implementing Data Strategy, including synthetic data generation, federated learning, and secure data sharing protocols for effective model training. You will design and oversee the deployment of scalable AI systems using the latest technologies, such as MLOps pipelines, container orchestration (Docker, Kubernetes), and serverless architectures. Ensuring Ethics & Compliance is also crucial, where you will make sure AI models comply with ethical guidelines, including responsible AI principles, addressing fairness, transparency, and mitigating bias. Staying updated with the latest AI trends, such as reinforcement learning with human feedback (RLHF), AI explainability, and continual learning, and applying them to real-world problems is essential. Collaboration is key in this role, as you will work closely with cross-functional teams, including data engineers, scientists, and product managers, to align AI systems with business goals. Leadership & Mentorship are also important aspects, as you will provide guidance to junior AI practitioners and foster a culture of innovation within the team. Performance Monitoring is another critical responsibility, where you will define KPIs for model performance, monitor systems in production, and implement mechanisms for continuous improvement and retraining. The ideal candidate for this role should have a Bachelors, Masters, or Ph.D. in Computer Science, Artificial Intelligence, Data Science, or related fields, along with 5+ years of experience in AI/ML, with a focus on generative AI technologies. Proven expertise in deploying large-scale generative models in production environments, hands-on experience with AI/ML frameworks such as PyTorch, TensorFlow, and Hugging Face Transformers, and proficiency in Python, R, or Julia for data science and AI model development are required. Additionally, expertise in cloud-native AI solutions, familiarity with advanced data strategies like synthetic data creation and federated learning, and hands-on experience with MLOps practices are preferred. Strong analytical skills, the ability to thrive in a dynamic, fast-paced environment, and a proven track record of working effectively within cross-functional teams are also desired qualities in the ideal candidate.,

Key Responsibilities: Help internal customers to identify key metrics to support business goals, and how to gather the data supporting those metrics Architect and design salesforce solutions using Marketing Cloud Intelligence (Datorama) while maintaining scalable and efficient solutions for business needs Conduct feasibility studies, defining new data streams in MCI, and ensuring timely data refresh cycles Liaise with cross-functional teams, feasibility check in MCI, and develop new reporting capabilities while overseeing build of new optimization reports. Work with and train business users to help developers to build effective data ingestion pipelines; data models and visualizations Have deep technical skills to be able to explain tool capabilities and dig into the specific functions of tools, as well as its interoperability across technical, martech and adtech systems Provide requirements for visualizations to data analysts for them build reports and dashboards that best present the key metrics Based on experiences in developing strategies, develop best practices and processes for metrics, data management, and/or data visualization where possible; continuously stay up-to-date on Salesforce releases and updates Be able to manage direct and indirect reports as needed, working in a matrixed global organization Essential Requirements: Minimum of 7 - 10 years of business experience in analytics, consulting and/or enterprise software experience is required, including demonstrated ability of stakeholder management Minimum of 5+ years experience in Salesforce with strong focus solution architect Proficient in Datorama, Salesforce configurations, and Marketing Cloud Excellent written and verbal skills. Strong interpersonal and analytical skills Ability to provide efficient, timely, reliable, and courteous service to customers. Ability to effectively present information Demonstrated knowledge of the Data Engineering & Business Intelligence ecosystem Salesforce MCI certification. Other SF platforms viz app building PD1, PD2 etc Familiarity with AppExchange deployment, Flow, Aura component and Lightning Web component will be a plus Percentage of work: 25% - Direct internal customers interaction, gathering requirements, communicating progress, and providing deliverables 25% - MCI development - spend time identifying appropriate data streams, metrics, data model architecture to attain the business objectives 25% - Direct opportunities for reporting & insights projects leveraging Salesforce reporting tools such as Marketing Intelligence, CRM Analytics and Qlik, along with data engineering platforms such as Snowflake, Databricks, SF Data Cloud, Google Cloud, AWS and Azure, and ETL tools like Mulesoft. 15% - Provide thought leadership to be used to create additional conversation around reporting best practices 10% - Identify growth opportunities for personal and professional development

Key Responsibilities: - Lead functional activities for medium to large-sized projects in phase I to IV clinical studies within the Novartis Global Development Organization. Coordinate activities of Data Managers, both internally and externally. Make data management decisions and propose strategies at the study or project level. Ensure the application of consistent data management processes, increasing standardization and documentation across assigned projects/programs. Provide and implement data management solutions, ensuring knowledge sharing. Lead process and training deliverables within multiple platforms, franchises, or therapeutic areas, developing strategies for effective training and knowledge retention. Represent Data Operations (DO) in all audits and inspections, centralizing and aligning the team in audit preparation, readiness, and response. Essential Requirements:- Proven experience in clinical data management, data architecture, data governance, data integration, data profiling, data quality, data science, data strategy, and master data. Strong project management skills with the ability to manage multiple tasks and projects simultaneously. Cross-cultural experience and functional breadth in managing clinical data management activities. Ability to recognize and resolve protocol issues that may impact database design, data validation, and analysis/reporting. Excellent communication and interpersonal skills to build and maintain effective working relationships with cross-functional teams. Proficiency in using data management tools to generate listings for data review and provide these to study teams. Skills Desired Clinical Data Management, Data Architecture, Data Governance, Data Integration, Data Management, Data Profiling, Data Quality, Data Science, Data Strategy, Master Data, Waterfall Model