Top Tech Jobs & Startup Jobs

Work with clients and internal teams to elicit, analyze, document, and manage business and technical requirements. Facilitate workshops, model processes, create BRDs, user stories, use cases, and functional specifications, and bridge business stakeholders with delivery teams. Support Agile delivery, testing, UAT, solution validation, risk management, requirements traceability, change adoption, and continuous improvement across digital transformation and technology initiatives.

Plan, execute, monitor, and optimize multi-channel CRM campaigns. Manage AEM-related business requirements, prioritize technical work, troubleshoot operational issues, and collaborate with technical teams. Provide guidance, training, and mentorship while analyzing campaign performance and delivering actionable insights. The role requires stakeholder coordination, platform expertise, strong organization, and basic web technology knowledge.

Lead the implementation of Data and AI Governance for clients, translating ambiguous governance challenges into practical operating models. Define ownership and accountability, facilitate stakeholder workshops, embed data quality, metadata, lineage, privacy, security, and responsible AI practices, and support governance forums. Create reusable templates and playbooks while collaborating with Business, Data, AI, Architecture, Privacy, and Security teams across complex enterprise environments.

Lead client implementations of Data and AI Governance, establishing ownership, stewardship, quality, metadata, lineage, privacy, security, and responsible AI practices. Facilitate stakeholder workshops, translate ambiguous governance challenges into practical roadmaps, embed governance into daily operations, support AI governance decisions, and create reusable templates and playbooks. Collaborate with Business, Data, AI, IT, Architecture, Privacy, and Security teams across complex enterprise environments.

Lead data science consulting projects, translate business problems into analytics solutions, manage client relationships, oversee project delivery, identify growth opportunities, and guide junior team members. The role involves working across the data lifecycle, applying statistical and machine learning expertise, presenting insights to business stakeholders, and coordinating multidisciplinary teams.

Lead data science consulting engagements, manage client relationships, translate business problems into analytics solutions, oversee project delivery, and guide analytical teams. Advise senior business leaders, communicate complex concepts clearly, identify growth opportunities, and mentor junior team members. The role requires strong statistical, programming, database, visualization, and machine learning expertise, along with substantial consulting or industry experience and project leadership.

Leads data science projects for client organizations, translating business problems into impactful analytics solutions. Manages client relationships, provides project oversight, identifies new opportunities, presents analytical findings, and guides junior team members. The role involves the full data lifecycle, including acquisition, cleaning, integration, analysis, interpretation, visualization, and machine learning, while coordinating multidisciplinary teams and communicating complex concepts to business stakeholders.

Own the end-to-end delivery of AI products, translating business needs into technical specifications, prioritizing use cases, and coordinating agile implementations. Manage acceptance testing, quality assurance, data governance, production integration, stakeholder alignment, and project governance. Monitor deployed AI performance, identify improvements, support adoption through documentation and communication, and ensure AI solutions deliver measurable client and business value.

Gather and document business, functional, and non-functional requirements through workshops, interviews, and process analysis. Translate stakeholder needs into solution requirements, user stories, process models, and project documentation. Collaborate with product, project, architecture, engineering, design, and QA teams throughout delivery. Support backlog refinement, testing, UAT, change impact analysis, requirements traceability, risk management, and solution adoption while contributing to business analysis standards and continuous improvement.

Supports client engagements and manages workstreams or smaller projects across digital transformation, technology, data and AI, commerce, and business transformation initiatives. Maintains project plans, schedules, RAID logs, status reports, governance documentation, and delivery dashboards. Coordinates multidisciplinary teams, facilitates meetings and Agile ceremonies, monitors risks and dependencies, supports stakeholder communication and change management, and contributes to process improvement, proposals, and project planning.