Lead data strategy, governance, and modernization initiatives for a Department of Defense customer, advising senior Army leaders and guiding implementation across complex programs.
Compensation
The target salary range for this position is $130,000-$195,000.
Responsibilities
Assess organizational data capabilities and mission needs
Develop data strategy and AI strategy roadmaps
Develop governance frameworks for government review
Lead federated data management planning and guide implementation
Guide improvements to data catalogs, metadata, lineage, quality, interoperability, and access controls
Develop and execute GTM strategies that accelerate adoption of GenAI services and open data structure on AWS
Identify and scale repeatable customer engagement models, enterprise architectural ready GTM assets, and data modernization strategies that drive adoption of AWS data services
Partner across AWS data, storage, analytics specialist, and partner organizations to define and operationalize best practices for interoperable and hybrid data architectures
Build scalable field enablement, positioning, and guidance for GenAI architecture strategies and multi-model approach with scalable and cost performant deployment patterns
Analyze customer adoption trends, competitive dynamics, and market signals to identify growth opportunities and influence GTM priorities
Lead customer engagements and drive cloud and AI solution sales for mid‑market customers in the Turkish market.
Compensation
Digital Solution Area Specialists IC4 - The typical base pay range for this role across Ireland is € 62,200.00 - € 92,100.00 per year.
Responsibilities
Lead Customer Engagements: Act as the Cloud & AI sales lead, guiding customers through cloud transformation across infrastructure, data, and AI platforms.
Own and Convert Pipeline: Manage forecast and pipeline from early‑stage to close.
Orchestrate Across Teams: Partner with Account Executives, Solution Engineers, Cloud Solution Architects, and partners to co‑sell, validate solutions, and ensure successful deployment through the Cloud & AI Marketplace.
Accelerate Decisions: Engage decision‑makers with clear business cases using Cloud & AI Pricing Calculator, ROI, and TCO tools.
Inspire and Influence: Bring technical fluency and inclusive leadership to virtual teams. Solve challenges with expertise in virtualization, cloud‑native tech, data modernization, and AI.
Requirements
Bachelor's Degree in Computer Science, Information Technology, Business Administration, or related field
Master's Degree in Business Administration, Information Technology, or related field
Nice to have: selling business solutions to global customers
Lead a global organization responsible for data and AI platform services across R&D, driving strategy, governance, and adoption of data-driven engineering and AI.
Responsibilities
Define and execute strategy for Data & AI Platform Services
Lead evolution of R&D data platform, marketplace, and AI foundation capabilities
Drive data enablement, democratization and AI adoption
Establish and govern data foundations, architectures, ingestion frameworks, storage services and transformation capabilities
Ensure secure, compliant and cost-efficient management of enterprise and customer data assets
The Executive Director of Data and Analytics provides strategic leadership for the OU Foundation’s enterprise data and analytics function, establishing the vision, strategy, governance, capabilities and infrastructure necessary to leverage data as a strategic organizational asset.
Compensation
Commensurate with experience.
Responsibilities
Create an integrated approach to data management, business intelligence, analytics, reporting, and data governance
Transform complex data into meaningful insights that strengthen fundraising, donor engagement, stewardship, operations, fiscal management, and organizational performance
Establish a trusted data environment, improve data quality and accessibility, advance analytics capabilities, and develop a culture in which data is consistently used to inform strategy and decision-making
Requirements
Bachelor's degree in data science, information systems, computer science, business analytics, statistics, business administration or a related field
Senior Director of Client Services Partner (Provider) focused on expanding strategic enterprise healthcare relationships through engineering-led transformation, cloud modernization, data platforms, and AI-enabled innovation.
Responsibilities
Build and own the engineering and technology growth plan for our strategic enterprise health accounts, including relationship maps, target use cases, and a qualified pipeline.
Develop relationships with technology, data, security, and AI leaders, from VP and senior director levels up to the C-suite.
Use our existing experience and digital relationships as a bridge. Work with the account’s Client Partners to earn introductions, and share credit transparently.
Sell and shape fixed-scope engineering sprints and pilots, then convert them into retained engineering teams and managed services.
Work with solution architects, Forward Deployed Engineers, and global delivery to scope, price, and staff engagements.
Requirements
Nice to have: healthcare payer experience
Nice to have: relationships with major health insurance organizations
Nice to have: expanding engineering services across both healthcare provider and payer accounts
Lead channel sales to build and scale co-sell motion with OpenAI, Anthropic, and LangChain, driving partner engagement, opportunity development, and commercial momentum.
Responsibilities
Build relationships with partner sellers
Establish productive relationships with account executives, sales managers, solutions engineers, and alliance teams at priority partners
Understand their territories, account priorities, sales objectives, and customer challenges
Earn their confidence by bringing relevant opportunities, differentiated expertise, responsive support, and dependable execution
Develop advocates within partner sales teams who repeatedly bring Quantiphi into customer pursuits
Establish and maintain strong data governance, quality, operational reliability, and ownership frameworks
Drive the adoption of AI, Generative AI, LLMs, AI agents, and conversational analytics
Translate business and analytical needs into data product requirements and actionable delivery plans
Requirements
Bachelor's degree in Business, Product Management, Data Analytics, Computer Science, Information Systems, Engineering, Statistics, Economics, or a related field (Master's degree preferred)
Senior Data Strategist - Clearance RequiredNewLMI · Fort Belvoir, US
Sr GenAI GTM Specialist, HCLS, AWS Specialist & Partner - IndustriesAmazon · London, United Kingdom
Product Management Group Manager- Marketing Customer AnalyticsPNC · Pittsburgh, US+3 more
Head of Data and AI Platform ServicesEricsson · Stockholm, Sweden
EXECUTIVE DIRECTOR OF DATA & ANALYTICSUniversity of Oklahoma Foundation Inc · Norman, US
Sr. Director Client Service (Healthcare Provider)Bounteous · US