Consulting Manager

Job Summary

The Consulting Manager role focuses on delivering high impact hybrid model consulting engagements using deep experience in data models and enterprise solutions for global clients. The candidate will drive complex day shift projects from strategy through execution ensuring measurable outcomes operational efficiency and scalable data driven decision frameworks that support the company mission and broader societal progress.

Responsibilities

• Lead hybrid consulting engagements by defining project scope measurable outcomes and delivery plans that align client strategies with data driven business objectives and sustainable organizational value creation.
• Oversee end to end execution of consulting projects during day shifts by coordinating cross functional teams managing timelines and ensuring consistent quality of deliverables that meet enterprise standards.
• Provide expert guidance on designing and optimizing data models that enable accurate analytics streamlined reporting and reliable decision support for complex business environments.
• Drive discovery workshops with client stakeholders to capture requirements understand current processes and translate business needs into actionable consulting roadmaps supported by robust data architectures.
• Manage project governance by setting clear milestones tracking progress through transparent metrics and proactively addressing risks and issues to maintain predictable outcomes.
• Collaborate with technology and business teams to integrate consulting recommendations into operational workflows that improve efficiency reduce redundancy and enable scalable growth.
• Develop reusable frameworks and methodologies for data model driven consulting that can be applied across industries to accelerate solution design and enhance consistency of delivery.
• Guide the creation of detailed functional and analytical documentation that clearly explains recommended data structures process changes and expected performance improvements for client organizations.
• Coordinate with internal quality assurance and compliance teams to ensure that all consulting outputs meet regulatory expectations data integrity standards and ethical use of information.
• Mentor junior consultants by sharing practical techniques for problem solving stakeholder engagement and data model application thereby strengthening the overall capability of the consulting practice.
• Analyze engagement results and client feedback to identify opportunities for continuous improvement in methods tools and data centric approaches that enhance future project impact.
• Support business development activities by contributing to proposals case studies and thought leadership focused on the strategic use of data models in modern consulting solutions.
• Champion client value realization by tracking post implementation performance indicators and recommending iterative enhancements that drive long term societal and enterprise benefits.

Qualifications

• Demonstrate eleven to fifteen years of consulting experience with a consistent record of delivering complex projects that use structured data and analytical insights to solve business challenges.
• Possess strong practical expertise in data models including design normalization and optimization techniques that support analytics platforms and enterprise reporting needs.
• Apply advanced problem solving skills to evaluate ambiguous client situations synthesize diverse information sources and recommend clear data supported strategies that can be executed in realistic timeframes.
• Exhibit proficiency in hybrid working practices by effectively coordinating onsite and remote collaboration tools to maintain high engagement and productivity across consulting teams.
• Show solid understanding of standard enterprise technologies databases and analytical solutions that commonly underpin data driven consulting engagements in multinational organizations.
• Communicate complex data model concepts and consulting recommendations in accessible language tailored to technical and nontechnical stakeholders to ensure alignment and adoption.
• Display strong client facing skills including expectation management conflict resolution and outcome negotiation that help sustain long term strategic relationships.
• Maintain familiarity with industry best practices for data governance privacy and ethical analytics so that consulting advice remains responsible compliant and socially aware.
• Bring experience in planning and executing projects fully within day shifts to support global clients who operate in similar time windows and require predictable availability.
• Utilize structured methodologies for project management and consulting delivery that ensure transparency in scope effort estimation and measurable benefits for client organizations.
• Keep knowledge current on emerging trends in data modeling analytics and digital transformation to continuously enrich the consulting offerings and contribute to the company competitive edge.
• Commit to collaborative work habits by actively sharing knowledge participating in internal initiatives and supporting a culture of continuous improvement and inclusive teamwork.

Acerca de Cognizant   
Cognizant (Nasdaq: CTSH) es un creador de soluciones de IA y proveedor de servicios tecnológicos que conecta la inversión en IA con el valor empresarial mediante el desarrollo de soluciones de IA full‑stack para sus clientes. Su profundo conocimiento de la industria, junto con su experiencia en procesos e ingeniería, permite incorporar el contexto único de cada organización en sistemas tecnológicos que amplifican el potencial humano, generan resultados tangibles y mantienen a las empresas a la vanguardia en un entorno en constante cambio. Más información en cognizant.ai o @cognizant.

Información adicional de empleo 

La información de compensación es precisa a la fecha de esta publicación. Cognizant se reserva el derecho de modificar esta información en cualquier momento, sujeto a la legislación aplicable.

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