Senior Consultant – Braindesk Sales at Draup

Role Summary

We are hiring a Senior Consultant to own end-to-end execution of research and consulting engagements. The role requires strong analytical thinking, team leadership, individual ownership, and the ability to leverage AI and automation to drive high-quality, scalable delivery. The ideal candidate comes from a premier academic institution and has built their career at reputed organisations, bringing deep expertise in research and consulting.

Key Responsibilities

Lead delivery of research/consulting projects (account intelligence, industry analysis, ABM, competitive insights, etc.)
Own end-to-end delivery of high-quality reports by combining deep research with analytical tools, ensuring timely and accurate output
Drive automation of repetitive workflows to improve efficiency, speed, and scalability using AI and in-house tools
Leverage AI tools to boost productivity in report generation, research, and day-to-day tasks
Train and upskill team members on AI tools and automation workflows to embed an AI-first culture in the team
Translate ambiguous asks into structured problem-solving and actionable insights‍
Build and standardise processes, frameworks, and SOPs‍
Manage high-priority, high-stakes accounts through structured cadences and proactive engagement‍
Manage and mentor a team of analysts/consultants, driving performance and capability development
Collaborate with internal stakeholders and support customer-facing discussions when required

Requirements

‍Strong academic background from a premier/reputed institution (MBA from a top-tier institute preferred)
3–5 years of experience in research, consulting, or analytics roles at reputed organisations
Prior experience leading and managing teams‍
Demonstrated ability to deliver high-quality reports within deadlines in a fast-paced environment

Core Skills

Strong secondary research, analytical, and problem-solving ability‍
Expertise in MS Office; very strong Excel (analysis, modelling) and PowerPoint (storytelling, executive presentations)
‍Excellent verbal and written communication skills; ability to communicate complex ideas clearly and confidently
Ability to create executive-ready insights and narratives
People management and leadership skills; ability to drive team performance and foster collaboration
Ability to work with ambiguity and deliver structured outputs in a fast-paced, high-growth environment

Technology Orientation

Good understanding of AI (GenAI/Agentic AI), automation, and digital trends‍
Hands-on experience using AI tools to enhance research, report generation, and workflow productivity
Proven ability to leverage AI tools to automate repetitive tasks and deliver outputs faster‍
Ability to train team members on AI tools, prompt engineering, and AI-powered workflows

Other Traits

Solution-oriented and process-driven; high ownership mindset
Comfortable working in a fast-paced, high-growth environment with ambiguity and evolving priorities
Strong time management and ability to manage multiple deliverables simultaneously without compromising quality
Proven ability to drive efficiencies through automation and standardisation

Why Draup

Work at the intersection of AI, data, and research/consulting‍
High ownership and visibility with leadership
Opportunity to build next-gen, AI-driven delivery models‍
Fast growth environment with strong career acceleration

Compensation

Competitive, as per industry standards

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Data Trust & Methodology at Draup

Draup uses a structured methodology to reduce inaccuracies and prevent misleading information, with a focus on transparency and responsible data practices.

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Data Transparency and Coverage

Draup sources data from diverse, vetted global inputs including public datasets, labor information, professional ecosystems, and industry research. Coverage varies by region and role, and we supplement limited areas with alternative sources and analyst-led modeling.

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Profiles Behind the Numbers

All aggregate insights related to buyers, roles, skills, and locations are grounded in structured, anonymized human and organizational profiles rather than pure extrapolation. This ensures context, reliability, and protection of personal identities.

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Data Hygiene and Integrity

We maintain a clean, accurate data environment by removing duplicates, outdated entities, and invalid records. Automated checks powered by ML models and analyst reviews work together to ensure clarity and accuracy for every entity, such as buyer, role, skill, technology, or company. Learn more

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AI Governance and Bias Mitigation

Our governance framework combines automated evaluations with Human-in-the-Loop reviews. We use statistical checks, audits, and cross-source comparisons to reduce demographic and structural bias before insights reach the platform.

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Compensation Guardrails

Compensation insights use blended, directional inputs such as aggregated ranges, benchmarks, modeled distributions, and market signals. We distinguish clearly between modeled and reported data and apply guardrails to prevent over-interpretation.

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Hourly and Frontline Workforce Coverage

For hourly, frontline, and blue-collar roles where digital visibility is limited, we incorporate government datasets, localized labor information, and specialized partners to build a more complete and balanced view of workforce supply and demand.

Senior Consultant – Braindesk Sales

Data Trust & Methodology at Draup

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Ethical AI, Backed by Global Standards

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