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Job Description & How to Apply Below
Accordion is a global financial consulting and technology firm helping CFOs and their teams drive
value creation. Rooted in private equity rigor and powered by data, analytics, and AI, we partner
with companies across industries to turn insight into impact.
Accordion works at the intersection of Private Equity sponsors and portfolio companies’
management teams across every stage of the investment lifecycle. We provide hands-on,
execution-oriented support, driving value through the office of the CFO by building data and
analytics capabilities and identifying and implementing strategic work, rooted in data, analytics and
AI.
Accordion is headquartered in New York City with 10 offices worldwide, including the India office
based out of Hyderabad. Join us and make your mark on our company.
Data & Analytics (Accordion | Data & Analytics)
Accordion's Data & Analytics (D&A) practice in India delivers cutting-edge, intelligent solutions to a global clientele, leveraging a blend of domain knowledge, sophisticated technology tools, and deep analytics capabilities to tackle complex business challenges.
We partner with Private Equity clients and their Portfolio Companies across diverse sectors, including Retail, CPG, Healthcare, Media & Entertainment, Technology, and Logistics.
D&A team members deliver data and analytical solutions designed to streamline reporting capabilities and enhance business insights across vast and complex data sets ranging from Sales, Operations, Marketing, Pricing, Customer Strategies, and more.
Working at Accordion in India means joining 800+ analytics, data science, finance, and technology experts in a high-growth, agile, and entrepreneurial environment to transform how portfolio companies drive value. It also means making your mark on Accordion’s future—by embracing a culture rooted in collaboration and a firm-wide commitment to building something great, together.
Join us and experience a better way to work!
Location:
Hyderabad, Telangana
Role Overview :
The Technical Director at Accordion is responsible for leading the architecture, development, and
delivery of modern, scalable data platforms that drive analytics, AI integration, and decision-making across client organizations. This role demands deep technical expertise, strong business acumen, and the ability to design cost-optimized solutions that address both current and future client needs – across cloud and on-premises environments.
The Technical Director will champion an AI-first approach – responsibly integrating/leveraging AI
tools to accelerate delivery, defining AI-ready data infrastructure standards for engagements, and
building MCP (Model Context Protocol) servers to expose data platform capabilities to AI agents
and LLM-powered workflows. A successful candidate will possess strong critical thinking,
organizational skills, and the ability to communicate effectively with cross-functional stakeholders
to drive end-to-end solution delivery.
What You will do:
Partner with multiple clients to understand their business challenges and translate them into data architecture requirements and actionable solution roadmaps.
Own end-to-end accountability for the delivery of data engineering engagements, ensuring projects are executed on time, within scope, and to a high technical standard while proactively managing risks, aligning stakeholders, and maintaining visibility across work streams.
Design and lead the implementation of cloud-native data platform architectures including data lakes, lake houses (Delta Lake, Apache Iceberg), and modern data warehouses, recommending the right technology stack per engagement.
Collaborate with business and technology teams to guide solution development, define KPIs, scalable data models, and metrics frameworks aligned with client goals.
Partner with Project Managers to develop, execute and own delivery plans ensuring high quality output within agreed timelines.
Evaluate and implement modern data integration patterns: ELT/ETL orchestration, streaming pipelines, and real-time data processing.
Build data infrastructure that is AI-ready by design — ensuring proper data organization, governance, lineage, and…
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