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Designs, architects, implements, and configures Varicent incentive compensation solutions for clients. Responsibilities include requirements gathering, solution blueprinting, data integration, migration, testing, troubleshooting, training, documentation, and ongoing support. The consultant engages stakeholders throughout project lifecycles, mentors junior team members, manages global virtual teams, and supports multiple projects. The role is hybrid in Gurgaon or Pune and requires travel to collaborate with clients and internal teams.

Develop advanced data science algorithms, apply statistical and machine learning techniques to large datasets, evaluate emerging data technologies, and build scalable generative AI and deep learning solutions. Collaborate with clients and engineering teams to communicate findings, deploy models into production, and maintain reliable workflows using software engineering best practices.

Lead advanced data science and numerical optimization projects using large, unstructured datasets. Develop computationally efficient analytic solutions, collaborate with engineering teams on deployment, evaluate emerging technologies, build scalable analytic assets, communicate findings to clients, contribute to research and publications, and manage project teams.

Configure and develop Anaplan planning solutions for territory, quota, incentive compensation, sales, forecasting, and workforce planning. Translate business requirements into technical specifications, create models and dashboards, support testing and deployment, prepare project documentation, and participate in client discussions and post-production support. The role collaborates with global delivery teams, project leads, and solution architects while developing expertise in Anaplan and business planning processes.

Supports senior executives and consulting leaders by driving strategic initiatives, optimizing operations, managing budgets, developing business development reports, preparing executive presentations, coordinating workshops and events, and improving processes. The role also supports people strategy, client procurement relationships, compliance, impact measurement, and cross-functional planning. Candidates should bring 5–8 years of consulting, professional services, strategy, or operations experience, strong problem-solving and stakeholder-management skills, and proficiency with Microsoft Office tools.

Owns end-to-end Marketo email and nurture campaigns, including segmentation, automation, testing, deployment, reporting, and optimization. Manages CRM lead and contact lifecycles in Microsoft Dynamics, including data imports, routing, hygiene, dashboards, campaign attribution, and sales handoffs. Supports integrations between Marketo, CRM, and connected marketing systems while collaborating with content, creative, marketing, and sales stakeholders.

Design and implement production-grade AI and machine learning solutions, including scalable GenAI applications, RAG pipelines, ML platforms, data pipelines, and distributed cloud systems. Collaborate with architects and client-facing teams, write tested and maintainable code, conduct technical research and proofs of concept, participate in Agile delivery, troubleshoot production issues, review code, estimate work, and mentor engineers.

The Senior Human Resources Associate leads talent acquisition for enterprise technology roles. Responsibilities include sourcing and screening candidates, managing requisitions and interview logistics, advising hiring managers and senior leaders, building talent pipelines, tracking recruiting metrics, coordinating technical interviews, improving candidate and interview processes, and supporting recruiting projects and knowledge-sharing initiatives.

Collaborate with clients and internal teams to design and implement technology solutions. Translate business problems into technical designs, lead project modules and workstreams, guide deliverables, support project planning and risk mitigation, and mentor team members. The role requires hands-on implementation, expertise in SQL, data warehousing, analytics, cloud platforms, and Python, plus strong communication and client-facing consulting skills.

Leads client-facing data engineering engagements from discovery through production, translating business requirements into cloud architectures, ETL/ELT pipelines, data lakes, warehouses, and analytics solutions. Oversees technical delivery, project planning, quality reviews, testing, documentation, and stakeholder communications. Mentors engineers and consultants, drives coding and data quality standards, supports business development, and develops scalable solutions using Python, SQL, Spark, and major cloud platforms. The role also contributes to AI-enabled data engineering and supply chain or manufacturing solutions.