31 Ai Strategy Jobs - Page 2

Responsibilities Leadership & Talent Management Build, grow, and lead a world-class AI & Data team at the AIN site, attracting and developing top talent to support broader organization. Foster an environment of innovation, continuous learning, and technical excellence to drive AI and data-driven advancements. Strategic Leadership Define and execute the vision, strategy, and governance for enterprise-wide AI & Data, ensuring business alignment, data integrity, security, and compliance. Drive AI and data-driven transformation across R&D, commercial, operations, and corporate functions to maximize business impact. Enterprise-Wide Collaboration Partner with business leaders and other site leaders in India to embed AI and data-driven decision-making into critical functions and democratize insights across Amgen. Act as a thought leader, advocating for AI & Data strategy to internal and external stakeholders while fostering a culture of data literacy. Innovation at Scale Stay ahead of emerging AI, big data, and cloud technologies, fostering external partnerships with academia, startups, and industry leaders. Deploy digital solutions at scale to enhance operational efficiency, optimize decision-making, and improve patient outcomes. Performance Measurement & Optimization Define and monitor KPIs for AI & Data initiatives, ensuring measurable business impact and continuous optimization. Implement AI-driven automation and analytics across R&D, commercial, operations, and corporate functions to accelerate value realization. Industry Engagement & Thought Leadership Represent Amgen's AI & Data vision at global industry forums, positioning the company as a leader in AI-driven biopharma innovation. Promote a culture of AI and data innovation, empowering teams to leverage advanced analytics for strategic decision-making. Accountabilities Leadership & Vision Provide clear vision and strategy for enterprise-wide AI & Data strategy, ensuring governance, security, and innovation to maximize business impact. Establish cross-functional partnerships, and prioritize investments working with executive leadership Strategic Outcomes Deliver on the organizational vision and strategic initiatives and ensure successful execution of scalable AI & Data solutions to improve operational efficiencies, enhance patient outcomes, and drive measurable business value. Qualifications Minimum Requirements Doctorate degree & 6 years of directly related experience OR Master's degree & 10 years of directly related experience OR Bachelor's degree & 12 years of directly related experience AND 6 years of managerial experience directly managing people and/or leadership experience leading teams, projects, programs or directing the allocation of resources Preferred Requirements Master's or Ph.D. in AI, Analytics, Data Science, Machine Learning, Computer Science, or a related field, with deep expertise in enterprise AI & Data strategy. 20+ years of leadership experience, including 10+ years driving AI & Data strategy, analytics platforms, and enterprise AI transformation at scale. Proven track record of building, scaling, and governing AI-driven enterprise platforms with measurable business and operational impact. Deep expertise in AI/ML frameworks (e.g., TensorFlow, PyTorch), cloud AI platforms (AWS, Azure, GCP), and advanced analytics tools. Strong AI & Data governance leadership, ensuring compliance with regulatory, ethical, and security standards in a global enterprise environment. Experience leading big data ecosystems, AI-driven automation, data pipelines, ML-Ops, and cloud-based AI/ML deployments. Ability to lead large-scale AI & Data initiatives, driving innovation, business growth, and AI adoption across the organization. Demonstrated success in developing and scaling high-performing teams at new centers or sites, driving AI & Data capabilities in emerging locations. Exceptional executive communication, stakeholder management, and strategic influence, with experience presenting AI strategy to C-level executives and board members. Extensive experience in budget management, resource allocation, and organizational scaling, fostering a high-performance AI & Data organization.

As a Strategy & Influencer Intern, you’ll work alongside strategists and creative planners to develop impactful campaign strategies that are powered by both cultural intuition and AI-driven intelligence.

About Capability Network: Accenture Strategy shapes our clients' future, combining deep business insight with the understanding of how technology will impact industry and business models. Our focus on issues such as digital disruption, redefining competitiveness, operating and business models as well as the workforce of the future helps our clients find future value and growth in a digital world. Today, every business is a digital business. Digital is changing the way organizations engage with their employees, business partners, customers and communities how they manufacture and deliver products and services, and how they run their organizations. This is our unique differentiator. We seek people who recognize and understand the impact that digital and technology have on every industry and every sector, and share our passion to shape unique strategies that allow our clients to succeed in this environment. To bring this global perspective to our clients, Accenture Strategys services include those provided by our Capability Network a distributed management consulting organization that provides management consulting and strategy expertise across the client lifecycle. Approximately 3,000 consultants are part of this rapidly expanding network, providing specialized and strategic industry and functional consulting expertise from key locations around the world. Our Capability Network teams complement our in-country teams to deliver cutting-edge expertise and measurable value to clients all around the world. For more information visit . Capability Network Videos: Video title External link Accenture Capability Network Accenture in One Word MBA Careers:What makes Accenture different Accenture Inclusion & The Power of Diversity https://www.youtube.com/watch?v=2g88Ju6nkcg Practice Overview: Skill/Operating Group Technology Consulting Level Manager Location Gurgaon/Mumbai/Bangalore/Hyderabad/Chennai/Kolkata Travel Percentage Expected Travel could be anywhere between 0-100% Why Technology Consulting The Technology Consulting business within Capability Network invents the future for clients by providing them with the right guidance, design thinking and innovative solutions for technological transformation. As technology rapidly evolves, it's more important than ever to have an innovation advisor who can create a new vision or put one into place to solve the client's toughest business problems. Specialize in management or technology consulting to transform the worlds leading organizations by building innovative business solutions as their trusted advisor by: Helping Clients :Rethinking IT and Digital ecosystems and innovating to help clients keep pace with fast-changing, customer-driven environments. Enhancing your Skillset :Building expertise and innovating with leading-edge technologies such as Blockchain, Artificial Intelligence and Cloud. Transforming Businesses :Developing customized, next-generation products and services that help clients shift to new business models designed for todays connected landscape of disruptive technologies Principal Duties And Responsibilities: Working closely with our clients, consulting professionals design, architect, build and implement strategies, POC that can help enhance business performance. Develop specialized expertise"strategic, industry, functional, technical"in a diverse project environment that offers multiple opportunities for career growth. The opportunities to make a difference within exciting client initiatives are limitless in this ever-changing business landscape. Here are just a few of your day-to-day responsibilities. Identifying, Assessing and solving complex business problems for area of responsibility, where analysis of situations or data requires an in-depth evaluation of variable factors. Interact with client stakeholders to understand their AI problems, priority use-cases, define a problem statement, understand the scope of the engagement, and also drive projects to deliver value to the client Understand client's business and IT goals, vision and identify opportunities for reinvestment Through your expertise and experience, guide your team to suggest the right solutions to meet the needs of clients and help draw up practical implementation road maps that position them for long-term success Benchmark against global research benchmarks and leading industry peers to understand current & recommend AI solutions Conduct discovery workshops and design sessions to elicit AI opportunities & client pain areas. Technical SME to design & guide development of Enterprise wide AI architecture & strategy Managing multi-disciplinary teams to shape, sell, communicate and implement programs Contribute towards practice development initiatives like new offering development, people management etc Mentoring and People skill development Qualifications Qualifications: MBA Degree from Tier-1 College (Preferable) Bachelors Degree AI/ML/Cloud AI Certifications preferred Minimum of 10-15 years large scale consulting experience and managing teams in a consulting environment or at high tech companies Experience: We are looking for Advanced Analytics and AI Managers to join our growing team having experience with Machine learning and NLP applications. Operating across all stages of the innovation spectrum, with a remit to build the future in real-time. Experience in designing and building end-to-end AI Strategy & solutions using Cloud & Non-Cloud AI ML, NLP algo. Assessment: Works as part of multi-disciplinary teams and responsible for independently driving specific AI workstreams through collaboration with designers, other AI team members, platform & Data engineers, business subject matter experts and technology delivery teams to assess AI potential and develop use cases. Liaises effectively with global community and senior leadership to identify and drive value opportunities around AI, support investments in POCs, pilots and chargeable projects. Design: The Managers role on these projects centers around independently executing workstreams around the application of analytics, data science and advanced cognitive methods to derive insights & actions from data and develop POCs and appropriate high-level scalable solution designs. Strong expertise in designing AutoML, MLOps AI solutions using any of the Cloud services (AWS, GCP, Azure). Architecture: The nature of these projects change as ideas and concepts mature, ranging from research, proofs-of-concept and the art-of-the-possible to the delivery of real-world applications for our clients. Focus in this area is on the impact to clients technology landscape/ architecture and ensuring formulation of relevant guiding principles and platform components. Expertise in designing Enterprise AI strategy, Responsible AI frameworks is preferred. Strong experience handling multiple end-to-end AI Lifecycle projects from Data preparation, Modeling, Build, Train & Deploy. Product/ Framework/ Tool evaluation: Collaborate with business experts for business understanding, working with other consultants and platform engineers for solutions and with technology teams for prototyping and client implementations. Evaluate existing products and frameworks available and develop options for proposed solutions. Have an understanding of the framework/ tools to engage the client in meaningful discussions and steer towards the right recommendation. Modeling: Strong SME knowledge in Data Preparation, Feature engineering, Feature selection, Training datasets, Algorithmic selection, Optimizing & Production deployment. Work as a technical SME to teams and client on advising right AI solutions. The Manager should have practical industry expertise. The areas of Financial Services, Retail, Telecommunications, Life Sciences and Resources are of interest but experience in equivalent domains is also welcomed. Consultants should understand the key technology trends in their domain and the related business implications. Key Competencies and Skills: Strong desire to work in technology-driven business transformation Strong knowledge of technology trends across IT and digital and how they can be applied to companies to address real world problems and opportunities. Exceptional interpersonal and presentation skills - ability to convey technology and business value propositions to senior stakeholders Team oriented and collaborative working style, both with clients and those within the organization. Capacity to develop high impact thought leadership that articulates a forward thinking view of the market. Ability to develop and maintain strong internal and client relationships Proven track record in working creatively and analytically in a problem-solving environment Proven success in contributing to a team-oriented environment with effective consulting skills Proven track record to quickly understand the key value drivers of a business, how they impact the scope and approach of the engagement Flexibility to accommodate client travel requirements Technical Skills Good exposure to AI/NLP/ML algorithms and building models/chatbots/solutions. Expert in developing AI solutions using Cloud AI services (AWS, GCP, Azure). Strong understanding of entire ML project lifecycle from business issue identification, data audit to model maintenance in production Experience in conducting client workshops and AI use-case development & prioritization Strong knowledge on AI frameworks & algorithms Strong & relevant experience in end-to-end AI lifecycle from Data capture, Data preparation, Model planning, Model selection, Model build, train & test & Model Deployment Expert in designing AI pipelines, Feature engg, Feature selection, Labeling, Training & Optimizing models Good understanding on Scaling/Industrializing AI, Enterprise AI, Lean AI concepts, frameworks & tools Familiarity with some distributed storage frameworks and architectures Machine Learning Language:Python/Scala/R/SAS knowledge Virtual Agents NLU, NLG, Text to speech ML Libraries SciKit learn, Stanford, NLTK, Numpy, PyTorch etc Familiarity with cloud AI and Data offerings Database:HDFS, NoSQL, In-memory (Spark), Neo4j Experience with any of the platforms like IBM Watson, Microsoft ML, Google Cloud AI or AWS ML Additional Information: Flexibility to accommodate client travel requirements Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

Certainly! Heres a clear and detailed list of job responsibilities tailored for an Academic Head overseeing AI courses across geographies: Job Responsibilities: Academic Head AI Curriculum Development & Management Design, implement, and continuously enhance the AI curriculum to meet international educational standards and emerging industry trends. Collaborate with subject matter experts, faculty, and industry leaders to integrate cutting-edge AI practices, tools, and technologies into coursework. Academic Leadership & Faculty Coordination Provide academic oversight and direction to teaching staff, ensuring excellence and consistency across delivery across geographies. Recruit, mentor, and develop faculty, fostering professional growth and maintaining high instructional quality. Quality Assurance & Accreditation Ensure adherence to academic quality standards, accreditation requirements, and regulatory compliances specific to educational norms across geographies. Oversee periodic reviews, audits, and assessments to continually enhance course quality and effectiveness. Student Engagement & Success Monitor and evaluate student performance and feedback, initiating interventions and improvements to ensure optimal student learning outcomes. Foster an inclusive, supportive, and engaging educational environment, emphasizing student retention and success. Program Promotion & Stakeholder Communication Work closely with marketing, admissions, and communications teams to effectively position and promote the AI program across diverse platforms in across geographies. Engage with corporate partners, industry experts, and alumni networks to enhance program visibility, internships, placements, and industry collaborations. Research & Thought Leadership Drive and support research initiatives, scholarly publications, and thought leadership activities that enhance the reputation of the institution in the AI and business education fields. Encourage faculty and students to engage in research that addresses practical AI applications and contributes positively to industry and society. Cross-functional Collaboration & Strategic Planning Coordinate with academic operations, technology teams, and other internal stakeholders to ensure seamless program delivery, scheduling, and resource allocation. Participate actively in strategic academic planning, contributing to the institutions long-term growth and global expansion strategies. Technology Integration & Innovation Champion the integration of innovative teaching methodologies, digital tools, and platforms to enrich course delivery and facilitate interactive learning experiences. Keep abreast of emerging technologies and trends in AI education, driving continual innovation within the AI program. International Compliance & Policy Management Stay updated and compliant with education policies, data privacy regulations, and immigration norms relevant to international students and cross-border academic activities. Provide guidance on regulatory compliance, academic integrity policies, and ethical standards specific to academic environments across geographies. Reporting & Analytics Regularly prepare and present comprehensive academic performance reports, student progress analytics, and effectiveness metrics to senior management and stakeholders. Use data-driven insights to inform decision-making, strategic initiatives, and continuous program enhancements. This comprehensive set of responsibilities outlines a strategic, detailed, and leadership-focused role that aligns well with managing AI-based programs across both geographies. Role & responsibilities Preferred candidate profile

Responsibilities: *Design & deliver AI training program *Collaborate with stakeholder on AI strategy development *Measure effectiveness through analytic *Stay updated with emerging AI trends & technologies *Conduct hands-on labs & real-time project

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