9 Ai Enablement Jobs

As an AI Generalist at our company, you will have the opportunity to immerse yourself in the dynamic world of artificial intelligence and its practical applications in real-world business scenarios. Your role will involve a diverse range of tasks, from experimenting with cutting-edge AI tools to crafting marketing campaigns, building chatbots, and engaging with clients to showcase AI-powered solutions. You do not need an extensive background in AI to excel in this role; we value your curiosity, eagerness to learn, and innovative mindset. Your responsibilities will include AI enablement and experimentation, content creation, growth support, sales collaboration, and process optimization. You will have the chance to test and deploy various AI tools, collaborate with the marketing team on data-driven campaigns, participate in sales calls to align client needs with AI solutions, and streamline internal processes through automation and workflow enhancements. Your daily agenda will be fast-paced and ever-evolving, allowing you to actively contribute to its shaping. We are looking for individuals who prioritize mindset and adaptability over traditional qualifications. Strong communication skills, digital proficiency, and effective time management are essential for this role. While a background in Computer Science, Data Science, or Marketing is advantageous, we value practical experience, personal projects, and a thirst for knowledge. Success in this role will be measured by your ability to implement AI-driven workflows that enhance team efficiency, contribute to impactful marketing and sales assets, and serve as a reliable resource for troubleshooting AI-related challenges. You will have the opportunity to explore different areas within the company, receive mentorship from experienced professionals, and make a tangible impact on client projects from day one. If you are ready to embark on a journey of exploration, innovation, and collaboration, we invite you to apply for the AI Generalist position at our company. Join us in creating the future of AI-driven solutions by sending your resume and application materials to [careers@thisworksmedia.com](mailto:careers@thisworksmedia.com) with "AI Generalist" in the subject line. Let's build what has not yet been imagined.,

As a Cloud Advisory Subject Matter Expert (SME) with 12 to 16 years of experience, your role will involve understanding client business objectives, challenges, and desired outcomes through Cloud and AI enablement. You will be responsible for conducting advisory engagements related to Cloud and Data Architecture, Industry Cloud, Mergers and Divestitures, Optimization, Operating Model, and Ecosystem Integration. Your key responsibilities will include assessing the existing application landscape to determine the suitability for cloud-led business transformation, providing technical guidance for cloud platform selection and migration/modernization, and developing hybrid cloud roadmaps and strategies for clients. Additionally, you will be involved in maintaining client stakeholder relationships, identifying downstream opportunities, and ensuring the closure of advisory commitments. You will also be required to conduct cost optimization analyses, identify opportunities to reduce cloud spending, and maximize the return on cloud investments. Ensuring security and regulatory compliance, providing training and education to clients on cloud technologies will be essential aspects of your role. To excel in this position, you must possess Cloud certification or advanced cloud certification along with previous experience in cloud delivery, advisory, and solutioning in cloud-led business transformation engagements. A strong business understanding of Industry processes, Mergers and Divestitures, operating model post cloud adoption, data structures, data availability assessment, and AI enablement is crucial. Technical proficiency in one or multiple of the following technology spaces is required: - Distributed cloud architecture design - Migration and modernization techniques - Microservices and serverless architecture - API and integration techniques - DevSecOps - Cloud-native services - Cloud resource optimization and FinOps techniques If you are passionate about cloud technology and possess the necessary skills and experience, we look forward to having you on our team.,

Chargebee is seeking a visionary and hands-on Director of Data Analytics, Science & AI Enablement to lead the creation and growth of a data function that powers enterprise-wide AI initiatives. You will play a crucial role in designing, building, and leading a cross-functional team responsible for enterprise data analytics, data science, data governance, and structured data enablement to support advanced AI/ML use cases. As the Director of Data Analytics, Science & AI Enablement, you will lead the development and deployment of machine learning, generative AI, recommendation systems, and predictive models to enhance product intelligence and automation. You will be responsible for building and scaling AI capabilities across the platform, including personalization, NLP, anomaly detection, and customer segmentation, while ensuring that the models are interpretable, ethical, and aligned with business and customer trust standards. Driving insights into user behavior, product performance, churn prediction, and lifecycle value using customer and usage data will be a critical aspect of your role. You will develop dashboards, KPIs, and self-service analytics tools for marketing, product, sales, and support teams, as well as own the customer analytics roadmap to enhance onboarding, conversion, retention, and upsell opportunities. You will build and lead a high-performance team of data scientists, AI/ML engineers, analysts, and data product managers. Collaborating with various departments such as Product, Engineering, Marketing, Sales, Legal, Risk & Compliance, and Customer Success, you will align data strategy with business objectives and legal requirements. Your ability to communicate findings to senior leadership and influence roadmap decisions using data-backed recommendations will be crucial. Collaborating with Data Engineering, you will ensure scalable data architecture and high-quality data pipelines. Overseeing data quality, governance, and compliance across all analytical and operational systems, you will implement scalable data architecture and governance frameworks, ensuring compliance with data privacy regulations and internal standards. Additionally, you will establish and lead a high-performing global team of data analysts, data scientists, and data engineers. Driving data availability, quality, and governance across the organization to support AI and advanced analytics initiatives will be a key part of your role. You will partner with engineering, product, and business stakeholders to identify opportunities for AI/ML solutions and ensure they are supported by reliable, well-structured data. Serving as a thought leader for data science, analytics, and AI enablement best practices, you will lead the development of dashboards, metrics, and decision-support tools that empower business leaders. To be successful in this role, you should have a Bachelor's or Master's degree in Computer Science, Statistics, Data Science, Engineering, or related discipline. You should possess proven experience working in a SaaS or tech environment with subscription-based metrics, at least 10+ years of experience in data analytics, data science, or related fields, with 3-5 years in a leadership capacity. Strong knowledge of AI/ML concepts, data platforms, and BI tools, as well as deep understanding of data governance, data quality, and metadata management, are essential. Excellent communication and stakeholder management skills, along with prior experience with product instrumentation and event tracking platforms, will be beneficial for this role.,

We are seeking a strategic and execution-focused Product Implementation Manager with extensive experience in Supplier Relationship Management (SRM) or related areas such as procurement, supply chain, ESG, or TPRM. As the Product Implementation Manager, you will be responsible for leading the implementation of our AI-enabled SRM platform solutions for enterprise clients. Your main objective will be to ensure a seamless onboarding process that enhances supplier performance, compliance, and collaboration. Your role will involve managing client implementations and product enablement from the initial kickoff to the go-live stage. You will work towards aligning stakeholders across various departments including procurement, IT, Legal, TPRM, and supplier networks. Your expertise in supplier lifecycle management and business processes will play a crucial role in translating client requirements into effective platform configurations, process designs, and integrations. Key Responsibilities: - Project Ownership: Lead end-to-end implementation of SRM solutions, managing timelines, deliverables, risk mitigation, and stakeholder engagement. - Client Discovery & Design: Conduct in-depth discovery sessions to understand client procurement workflows, TPRM processes, supplier segmentation strategies, risk controls, and compliance requirements. - AI Enablement: Configure and guide clients on utilizing embedded AI capabilities such as supplier risk prediction, performance analytics, Clause recommendation, and smart onboarding tools. - Tailored Configuration: Translate procurement and supplier governance requirements into actionable solution designs, workflows, and platform configurations. - Stakeholder Alignment: Collaborate with various stakeholders to ensure a smooth solution rollout. - Supplier Enablement: Assist clients in supplier onboarding, data migration, training, and adoption strategies. - Cross-functional Liaison: Coordinate with Product, Engineering, and Operations teams to deliver high-quality implementations aligned with roadmap capabilities. - Process Optimization: Gather feedback to identify areas for improvement in delivery frameworks, onboarding practices, and product features related to supplier management. - Go-live Success: Lead user acceptance testing, go-live planning, and post-launch support to ensure value realization and a seamless handover to the success/support teams. - Continuous Improvement: Provide feedback to Product and Engineering teams based on real-world implementation use cases to enhance platform performance and address feature gaps. Qualifications: - Bachelor's degree in finance, business, Information Systems, or a related field. - 12-15 years of overall experience with 5+ years in Supplier Relationship Management, Procurement Tech, P2P, ESG, Third Party Risk, or ERP-related product implementation or consulting. - Familiarity with supplier onboarding, risk management, performance monitoring, and contract lifecycle processes. - Proven ability to manage complex client relationships and multi-phase implementation projects. - Experience with procurement platforms (e.g., SAP Ariba, Coupa, Ivalua, Jaggaer, Oracle Procurement Cloud) is advantageous. - Strong communication and stakeholder management skills, with the ability to bridge technical and business audiences. - Strong knowledge of ITSM, SDLC, and DevOps would be beneficial. - PMP, PRINCE2, or similar project management certifications are a plus. Nice to Have: - Experience working with tools like Azure DevOps, ServiceNow, Salesforce, or similar platforms. - Background in change management or business process consulting. - Experience in change management, procurement transformation, or supplier enablement initiatives. - Familiarity with data migration, enterprise software, or onboarding strategies at scale. - Familiarity with integrations (e.g., ERP, contract management, supplier portals). Why Join Us: - Work with a market leader in Sourcing & Supplier Management. - Help transform how enterprises manage supplier relationships and supply chain risk in a dynamic, tech-driven world. - Collaborate with procurement innovators and digital transformation leaders across industries. - Be part of a collaborative, mission-driven team focused on sustainable supplier ecosystems and measurable client success.,

As a Senior Project Manager at TechHarbor Partners, you will oversee end-to-end delivery of large-scale, cross-functional initiatives across cloud infrastructure, AI enablement, enterprise collaboration platforms, and financial viability. This leadership role requires deep expertise in program management, team leadership, and stakeholder engagement in fast-paced, technology-driven environments. Key Responsibilities Lead the planning, execution, and delivery of multimillion-dollar, enterprise-scale IT and cloud transformation programs (e.g., M365 Copilot deployment, Office 365 migrations, telephony modernization, virtual desktop initiatives). Manage project/program budgets, schedules, and resources, ensuring delivery within scope, on time, and on budget. Direct cross-functional teams of engineers, business analysts, compliance, and risk management professionals through all phases of the project lifecycle, including requirements gathering, design, development, testing, deployment, and post-launch support. Coordinate complex, multi-vendor ecosystems Develop and drive project governance, including RAID logs, risk mitigation strategies, compliance and security reviews, POCs, and Architectural Review Board approvals. Oversee and report on program KPIs, burndown metrics, incident response, and SLAs using dashboard tools such as Looker Studio, Tableau, and Grafana. Align project outcomes with business and technology strategy, communicating status, risks, and wins to executive leadership and stakeholders. Enable change management and user adoption through training, documentation, communications, and ongoing stakeholder engagement. Stay abreast of technology trends in cloud infrastructure, AI automation, VDI, and Zero Trust security. Required Experience and Skills Bachelors or Masters degree in Computer Science, Engineering, or related field. 9+ years in IT program/project management with demonstrated experience leading major cloud/platform/infrastructure transformation projects. Experience managing virtual desktop infrastructure (Windows 365, Azure Virtual Desktop, Citrix), large-scale cloud migrations, and enterprise SaaS deployments (e.g., M365 Copilot, Confluence, Zoom, ServiceNow integrations). Proven ability to coordinate multiple, concurrent workstreams (1520+) using Agile/Hybrid methodologies, JIRA, and milestone-driven tracking. Strong vendor management, procurement, and contract negotiation skills. Familiarity with security frameworks (Zero Trust, compliance regimes) and the ability to align technical initiatives with organizational policies. Proficiency with dashboard/reporting tools (Looker Studio, Tableau, Grafana) and executive communication via Confluence, Teams, or Slack. Excellent leadership, team collaboration, communication, and risk mitigation abilities. Preferred Qualities Experience working with financial services or highly regulated industries. History of delivering AI/automation or productivity enablement solutions enterprise-wide. Certifications: PMP, Scrum Master, ITIL, or Azure/Microsoft certifications. Show more Show less

POSITION PURPOSE: This role leads the analytics vertical within Strategy and Commercial Excellence function, responsible for leveraging data, advanced analytics, AI/Gen AI, and digital tools to drive business performance, especially within field force operations. The individual will serve as a strategic thought partner to senior leaders and stakeholders across the business. YOUR TASKS AND RESPONSIBILITIES: 1. Strategic Leadership in Pharma Analytics: Drive the analytics roadmap aligned with India Business priorities to elevate field force performance and commercial excellence Act as a strategic thought partner for Business Heads and NSMs to translate business needs into scalable analytical solutions Benchmark global best practices and bring innovation to analytics models tailored for Indian pharma dynamics 2. Sales Force Effectiveness (SFE) Analytics: Lead the design and continuous evolution of SFE KPIs (e.g., doctor coverage, call frequency, product prioritization, call quality) Monitor and report on SFE metrics at territory, regional, and zonal levels for timely business interventions Link SFE analytics to business performance by creating actionable insights and enabling coaching inputs for field leaders 3. Dashboards, Data Visualization & Insights Engine: Design and maintain powerful dashboards and insight platforms for real-time monitoring of sales KPIs, field force health, and business impact Partner with MIS/IT teams to ensure data accuracy, automation, and system stability Support BU leadership with custom analysis, executive summaries, and visual storytelling 4. AI/ML & Gen AI Enablement: Identify and develop AI/ML use cases including field force segmentation, performance prediction, incentive optimization, and call impact modelling Pilot and scale Gen AI tools for productivity enhancement (e.g., automated call summaries, competitive insights, query bots) Drive external partnerships and POCs with AI startups, data science firms, and technology partners for pharma-specific Gen AI solutions 5. Team Leadership & Collaboration: Manage, mentor, and build capabilities of a high-performing team of data analysts and business insight specialists Promote a culture of agility, innovation, and business alignment Collaborate cross-functionally to ensure analytics deliverables are well-integrated into marketing campaigns, brand planning, and field force strategy. Drive external partnerships and POCs with AI startups, data science firms, and technology partners for pharma-specific Gen AI solutions WHO YOU ARE: MBA / Post-Graduation in Data Science, Business Analytics, or Pharma Management 10+ years of experience in the field of SFE Experienced in Pharmaceutical (India-focused) or Healthcare analytics SFE Analytics, Commercial/Marketing Analytics AI/ML/Gen AI in business context Experience in managing large field force data and incentive design Vendor and cross-functional stakeholder management Strong expertise in Excel, Power BI/Tableau, SQL Familiarity with pharma commercial systems (e.g., CRM/SFE tools, IQVIA data, doctor universe, segmentation frameworks) Understanding of AI/ML platforms, Gen AI tools, Pythan/R and cloud-based analytics Strong analytical and critical thinking skills Excellent interpersonal and communication skills High attention to detail with strong business acumen Collaborative mindset with ability to influence without authority Ability to work under pressure and drive multiple priorities Job location: Sun House, Mumbai

As an experienced professional with 15-22 years of relevant experience, you will be responsible for leading cloud-led business transformation engagements. Your role will involve providing cloud delivery, advisory, and solutioning services to support the adoption of cloud technologies. You should have a solid understanding of Industry processes, Mergers and divestitures, operating model post cloud adoption, data structures, data availability assessment, and AI enablement. To be successful in this role, you must possess cloud certification or advanced cloud certification. Your previous experience in cloud delivery and advisory services will be crucial in driving successful cloud-led business transformations. Additionally, having a strong business acumen and the ability to understand industry processes will be essential for addressing the challenges of cloud adoption and transformation. If you are looking for a challenging opportunity to leverage your cloud expertise and drive impactful business transformations, this role is ideal for you. Join our team and be a key player in shaping the future of cloud technology in the industry.,

At Goldman Sachs, we connect people, capital and ideas to help solve problems for our clients. We are a leading global financial services firm providing investment banking, securities and investment management services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals. Basic Qualifications AI enablement lead for GBM Engineering : This role will have responsibility for working across the different GBM engineering teams to identify opportunities to use AI and drive implementation to increase developer productivity and deliver business solutions. The candidate should have: 10 to 12 years of experience working in complex and large financial services organizations; Experience working with large data sets, data modelling, data discoverability and using data to draw actionable insights; Experience working on the public cloud, especially AWS; and Cross regional experience, strong influencing skills and ability to work with uncertainty.

We are seeking a motivated Manager of AI Enablement to join our Data and Analytics organization. In this role, you will promote a culture of Responsible AI across the enterprise, ensuring governance and ethical data management in all business units. You will lead AI risk management, collaborate with cross-functional teams, and integrate governance into the AI lifecycle. Your strategic thinking will enhance efficiency and optimize workflows, while your leadership will explore new AI technologies and manage proof of concepts to keep the organization competitive. Responsibilities include monitoring AI models for responsible use, equipping teams with best practices, empowering staff, and ensuring the right talent is onboarded for AI initiatives. You will coordinate with our Data and Model Stewards Network to implement and monitor Model Policies and Ethics Frameworks across key domains. This role also involves working on AI ethics research projects and using AI to enhance the organization's efficiency and optimize workflow. This role is crucial in upholding regulatory standards and mitigating AI-related risks, contributing to the future of AI governance and enablement. About the Role In this opportunity as Manager, AI Enablement , you will: As the Manager of AI Enablement, you will play a critical role in our AI Enablement team within the Data and Analytics organization. This position is vital in embedding responsible AI practices across all business units, ensuring that our AI initiatives are innovative, ethically sound, and compliant with governance standards. You will collaborate with cross-functional teams to drive AI risk management and help the organization stay ahead of market trends through strategic AI implementations. Champion the development of a culture that values Responsible AI and data across the enterprise. Oversee AI risk management processes and collaborate closely with cross-functional teams. Think creatively about using AI to increase organizational efficiency and optimize workflow. Explore new AI technologies and work with vendors or partners on proof of concepts and implementations. Monitor AI models for responsible considerations and equip business functions with responsible AI development and deployment practices. Coordinate and collaborate with our distributed Data and Model Stewards Network. Define, implement, and monitor Model Policies, Standards, and Ethics Framework across critical business domains. About You You're a fit for the role of Manager of AI Enablement if your background includes: Experience in AI governance, risk management, and validation. Strong understanding of ethical considerations in AI and data management. Proven leadership skills with experience in managing cross-functional teams. Excellent communication and collaboration skills. Ability to think strategically and drive innovation within an organization. Experience in implementing AI technologies and managing proof of concepts. Experience working with vendors and partners in AI technology implementations. Familiarity with regulatory standards related to AI and data governance. Advanced degree in a relevant field such as Computer Science, Data Science, or AI. Join us and be a part of a team that is shaping the future of AI governance and enablement!