Top Consulting Jobs in New York City, NY

Owns client relationships, revenue, account strategy, and growth for assigned pharmaceutical and biotech discovery accounts. Develops account plans, builds relationships with scientific and senior R&D stakeholders, identifies cross-service opportunities, coordinates delivery teams, and supports business development, proposals, and engagement expansion. The role requires broad drug discovery familiarity with depth in areas such as bioinformatics, AI, data, scientific strategy, or technology.

Designs and delivers customer data, marketing technology, and customer experience solutions for clients, including requirements gathering, solution design, implementation, activation, analytics, and measurement. The role uses SQL and ETL expertise, collaborates with architects, leads project workstreams, supports delivery planning and risk mitigation, creates technical and business deliverables, and mentors junior team members. Client-facing consulting experience in marketing technology, customer data platforms, marketing automation, cloud solutions, and omnichannel engagement is required.

Consults with clients on marketing technology, customer data, and customer experience transformation. Leads strategy, solution design, implementation, activation, analytics, and performance measurement for customer engagement initiatives. Translates business goals into scalable technology solutions, guides data integration and solution roadmaps, manages project delivery, facilitates workshops, supports proposals and business cases, and mentors junior consultants.

Analyzes real-world and client data to answer business questions, develop analytical solutions, and communicate actionable findings to senior stakeholders. The role involves collaborating with clients, determining appropriate data sources, executing quantitative analyses, understanding client processes, and developing expertise in client analytics areas. It requires strong quantitative, communication, problem-solving, and team leadership skills, with work performed in a hybrid, client-facing consulting environment.

The Decision Analytics Consultant delivers projects in pharmaceutical CMC development, employing quantitative skills to analyze data and provide client solutions while managing teams and enhancing practice development.

As a HEOR Associate Consultant, you'll design studies, develop communication documents, and collaborate with clients to translate scientific findings into actionable insights.

Lead client consulting workstreams focused on demand, supply, inventory, production, capacity planning, forecasting, and S&OP. Assess planning processes, design improvements, support APS and ERP implementations, develop analytics and AI-enabled planning solutions, and manage client relationships, deliverables, timelines, and junior team members. The role requires hands-on supply chain planning experience and collaboration with cross-functional stakeholders.

Support consulting engagements focused on AI transformation and digital strategy. Responsibilities include leading workstreams, researching markets and technologies, structuring ambiguous business problems, developing operating models and implementation roadmaps, translating technical concepts for executives, collaborating with data and technology teams, facilitating client workshops, presenting recommendations, mentoring junior staff, and strengthening client relationships.

Develop client solutions through problem-solving, market and desk research, quantitative analysis, and insight synthesis. Create analyses using Excel, Access, Confirmit, and proprietary software; communicate findings through presentations; support client relationships and project planning; track risks, issues, deadlines, and deliverables; and mentor Associates. The role requires collaboration, strong communication, attention to detail, initiative, and a client-first mindset.

Support client-facing teams in analyzing business problems, translating requirements into technical designs, and implementing technology solutions. Responsibilities include developing technical features with SQL and Python, applying agile and testing methodologies, interpreting business requirements, supporting project implementation plans, and collaborating with internal and client teams. The role requires strong analytical, communication, and problem-solving skills, with exposure to cloud platforms and big data concepts.