Top Tech Jobs & Startup Jobs

The Cloud Alliances and Partner Operations Specialist will manage cloud partner operations across AWS, GCP, Snowflake, and Databricks, ensuring compliance, enabling co-sell processes, and supporting strategic growth initiatives.

Manage and improve master data across customer, product, entitlement, subscription, contract, billing, and revenue domains. Configure and support MDM platform capabilities, integrate MDM with CRM/CPQ/billing/ERP/data platforms, create golden records and account hierarchies, perform profiling, cleansing, reconciliation, root-cause analysis, and document data definitions, mappings, lineage, and stewardship processes while partnering with cross-functional teams.

Develop and execute AI strategies for clients, assess AI opportunities, lead projects end-to-end, collaborate cross-functionally, advise clients, and provide thought leadership on AI and analytics.

Develop and drive AI strategies for clients by identifying AI use cases, conducting assessments, collaborating with cross-functional teams, and leading projects to deliver measurable business outcomes across sales, marketing, and customer experience.

The MicroStrategy Developer is responsible for BI application management, including developing dashboards, collaborating with stakeholders, and optimizing performance using MicroStrategy.

Lead enterprise AI transformation on Google Cloud: run strategy workshops, design AI-native architectures (Gemini, Vertex AI, BigQuery), build scalable cloud-native platforms (GKE, Cloud Run, AlloyDB), partner with sales and delivery, provide technical leadership and governance to accelerate enterprise AI adoption.

Lead design and delivery of enterprise AI solutions on AWS: architect production-grade AI platforms, create reusable reference architectures and accelerators, run executive workshops, support strategic sales pursuits, mentor engineering teams, and collaborate with frontend and delivery teams across large-scale transformations.

Design, build, and maintain scalable AWS-based data pipelines and ETL processes. Collaborate with data scientists and analysts to support analytics and ML, optimize storage and query performance, enforce data governance and security, troubleshoot pipelines, and recommend new data engineering solutions.

Lead and own major client workstreams translating business strategy into AI-enabled solutions. Build stakeholder relationships, design technical approaches, partner with engineers, prototype and deliver AI/data products, mentor junior consultants, and drive measurable business outcomes.

Lead and expand strategic Global 2000 and Fortune 500 accounts by driving AI-enabled data modernization and transformation. Build executive relationships, generate pipeline, close large consulting engagements, coordinate with hyperscalers and partners, and achieve annual bookings and revenue targets.