Director, GTM (Analytics)

TP; Gurugram District; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

TP in Gurugram, Haryana, is seeking a high-impact Analytics GTM & Solutioning Specialist. This strategic role involves leading responses to complex Data Engineering and Analytics RFPs, developing tailored solutions, and collaborating with various stakeholders. The ideal candidate will have 4-6 years of relevant experience and a strong understanding of analytics outsourcing models. TP is committed to diversity and fostering an inclusive workplace.

Qualifications

• Minimum 4–6 years of direct experience in RFP solutioning for analytics/data services.
• Proven track record of winning complex analytics deals.
• Hands-on understanding of analytics models and AI/ML integration.

Responsibilities

• Own end-to-end solutioning for Data Engineering and Analytics RFPs.
• Collaborate with delivery leads and architects.
• Craft executive-level response narratives.

Skills

Data Engineering

Analytics

Client-centric approach

Solution architecture development

Data governance

Real-time analytics

Commercial acumen

Education

Bachelor's or master’s degree in computer science or related field

MBA or equivalent business qualification

Tools

AWS (Redshift, Glue, Athena)

Azure (Synapse, ADF, Databricks)

GCP (BigQuery, Dataflow)

Apache Spark

Airflow

Kafka

Job description

Opportunity

We are looking for a high-impact Analytics GTM & Solutioning Specialist to lead the response to complex Data Engineering and Data Analytics RFPs, RFIs, and proactive proposals. The ideal candidate will combine deep domain expertise in analytics with a consultative, client‑centric mindset to craft differentiated, winning solutions. This is a strategic pre‑sales role that sits at the intersection of technology, business intelligence, and commercial acumen.

Responsibilities

• Own end‑to‑end solutioning for Data Engineering and Data Analytics RFPs, from bid qualification to final submission.
• Develop compelling, customized solution architectures that address client‑specific pain points and business objectives.
• Create innovative, differentiating approaches that go beyond standard responses—including accelerators, POCs, and proprietary frameworks.
• Collaborate with delivery leads, architects, and SMEs to ensure technical feasibility and commercial competitiveness of proposed solutions.
• Craft executive‑level response narratives, storyboarding the value proposition clearly for both technical and business stakeholders.
• Proactively identify and shape GTM opportunities in the analytics outsourcing space by understanding buyer trends and competitive dynamics.
• Support account teams during client conversations, workshops, and discovery sessions to qualify opportunities and identify whitespace.
• Develop reusable solution assets—templates, battlecards, case studies, reference architectures—to increase bid velocity.
• Represent the analytics practice at client meetings, industry events, and analyst briefings.
• Bring deep, hands‑on knowledge of the analytics value chain—from data ingestion and engineering to BI, advanced analytics, and AI/ML.
• Stay current with trends across cloud data platforms, data mesh, DataOps, real‑time analytics, and generative AI for data.
• Develop and publish thought leadership content (white papers, solution briefs, blogs) to build brand credibility.
• Demonstrate a strong understanding of analytics outsourcing models—managed services, CoE‑as‑a‑service, BI operations, and hybrid delivery.
• Design commercial constructs and engagement models (FTE‑based, outcome‑based, SLA‑driven) aligned with client expectations.
• Benchmark pricing, effort estimation, and staffing models against industry norms and competitive intelligence.

Qualifications

• Bachelor's or master’s degree in computer science, engineering, statistics, mathematics, or a related quantitative field.
• MBA or equivalent business qualification is a plus.
• Proficiency in modern data architecture patterns: Data Lakehouse, Lambda/Kappa, Medallion Architecture.
• Cloud platforms: AWS (Redshift, Glue, Athena), Azure (Synapse, ADF, Databricks), GCP (BigQuery, Dataflow).
• Orchestration & pipelines: Apache Spark, dbt, Airflow, Azure Data Factory.
• Data governance: Unity Catalog, Purview, Collibra, Alation.
• Real‑time streaming: Kafka, Kinesis, Flink.
• Hands‑on understanding of analytical modelling: dimensional modelling, DAX, LookML, semantic layers. Familiarity with advanced analytics and AI/ML integration—predictive models, NLP, GenAI for analytics (text‑to‑SQL, AI assistants).
• Minimum 4–6 years of direct experience in RFP solutioning, pre‑sales, or bid management for analytics/data services. Proven track record of winning large, complex analytics deals—ideally in outsourcing or managed services.
• Demonstrated experience with analytics managed services, BI‑as‑a‑service, or data engineering outsourcing delivery models.

Preferred Skills

• Familiarity with industry verticals such as BFSI, Retail, Healthcare, Telecom, or Hi‑Tech.
• Experience with AI‑first analytics solutions including LLM‑powered data assistants, vector databases, or RAG pipelines.
• Knowledge of data product thinking, data contracts, and DataMesh principles.
• Ability to create compelling visual decks, solution diagrams, and demo environments.
• Certifications: AWS/Azure/GCP Data, Databricks, Snowflake, Tableau, or equivalent.

Pre‑Employment Screenings

By TP policy, employment in this position will be contingent on your successful completion of and passage of a comprehensive background check, including global sanctions and watchlist screening.

Policy on Unsolicited Third‑Party Candidate Submissions

TP does not accept candidate submissions from unsolicited third parties, including recruiters or headhunters. Applications will not be considered, and no contractual association will be established through such submissions.

Culture & Belonging

At TP, we are committed to fostering a diverse, equitable, and inclusive workplace. We welcome individuals from all backgrounds and lifestyles and do not discriminate on the basis of gender identity or expression, sexual orientation, race, religion, age, national origin, citizenship, disability, pregnancy status, veteran status, or other differences.