Top Tech Jobs & Startup Jobs in Chicago, IL

Leads Anthropic-focused AI consulting accounts from activation through delivery and expansion. Owns account plans, use-case backlogs, client roadmaps, delivery risk, executive relationships, and growth opportunities. Partners with sales, delivery, marketing, and Anthropic teams to turn pilots into multi-phase AI transformation programs. Requires strong consulting, account growth, AI/data, scoping, and stakeholder leadership experience, with travel up to 50%.

Design and implement end-to-end cloud data solutions, lead or mentor engineering teams, ensure performance, security, and scalability, integrate diverse data sources, write and optimize SQL, program in Java/Python/Scala, produce presentations and detailed solution documentation, and engage directly with clients to deliver production-ready systems.

Leads complex, client-facing data and AI programs from strategy through delivery. Responsibilities include managing roadmaps, scope, budgets, margins, risks, forecasting, change control, executive communications, partner coordination, and measurable outcomes. The role orchestrates multi-geo teams, coaches delivery professionals, manages stakeholder relationships, and improves delivery methodologies across consulting engagements.

Lead client discovery and executive engagement to identify high-value AI and data opportunities. Translate ambiguous business problems into use cases, hypotheses, MVP scopes, business cases, and measurable KPIs. Facilitate workshops, prototype solutions using AI-assisted and low/no-code tools, and partner with technical teams to develop scalable solutions. Manage client alignment, scope, risk, adoption, and change communication while connecting technology investments to business value.

Leads client discovery, architecture, and delivery of enterprise Data and AI solutions from initial design through production deployment. Advises executives and technical stakeholders on platforms, tooling, trade-offs, and AI adoption; guides engineering teams, manages technical risks, creates architecture documentation, and mentors engineers. Requires deep cloud, data engineering, AI, consulting, and modern software delivery expertise.

Leads AI and data product management engagements across client portfolios, owning delivery quality, scope, financial performance, roadmaps, and adoption KPIs. Manages staffing, recruiting, utilization, and team performance while driving go-to-market strategy, pipeline, revenue, presales, and consulting engagements. Establishes product management standards, AI-assisted workflows, and reusable delivery frameworks, partnering with executive stakeholders to scale products from MVP to production.

Advise enterprise clients on AI and data strategies, transformation roadmaps, operating models, governance, privacy, technology rationalization, and business cases. Lead discovery workshops, executive engagements, and art-of-the-possible sessions; prioritize use cases and connect technical recommendations to business outcomes. Build the advisory practice, develop offerings, manage multidisciplinary teams, mentor staff, strengthen client and partner relationships, and support successful distributed project delivery.

The Territory Director is responsible for scaling sales, building relationships with partners, sourcing new customers, and managing key accounts strategically within the Chicago region.

Leads phData’s Anthropic private equity vertical, owning commercial strategy, fund and portfolio-company relationships, AI value-creation frameworks, engagement origination, and client outcomes. Translates Claude and broader data and AI capabilities into measurable EBITDA improvement, operational efficiency, and exit readiness. Builds scalable playbooks, account plans, financial models, and multi-year programs while partnering with Anthropic field teams and mentoring delivery leaders.

Lead architecture, operation, and continuous improvement of cloud-native, enterprise-scale data platforms (Snowflake, cloud storage, streaming). Translate requirements into roadmaps, design and optimize data warehouses and lakes, automate operations with Python and IaC, mentor engineers, and deliver managed services across multiple client accounts while driving reliability, security, and performance.