Asks for

The ad says“Deep technical expertise with Snowflake, dbt, Airflow and Power BI”
The ad says“Six plus years of experience in data engineering, analytics engineering, business intelligence, cloud platforms or related technical disciplines, preferably at a top-tier advisory firm serving U.S. clients”
The ad says“Experience designing and supporting cloud-based solutions within Microsoft Azure”
The ad says“Six plus years of experience in data engineering, analytics engineering, business intelligence, cloud platforms or related technical disciplines, preferably at a top-tier advisory firm serving U.S. clients”
The ad says“Demonstrated expertise with GitHub, including enterprise repository management, branching strategies, pull request workflows, code reviews, release management and CI / CD integration using GitHub Actions”
The ad says“Six plus years of experience in data engineering, analytics engineering, business intelligence, cloud platforms or related technical disciplines, preferably at a top-tier advisory firm serving U.S. clients”
The ad says“Experience establishing enterprise data governance frameworks”
The ad says“Deep technical expertise with Snowflake, dbt, Airflow and Power BI”
The ad says“Demonstrated expertise with GitHub, including enterprise repository management, branching strategies, pull request workflows, code reviews, release management and CI / CD integration using GitHub Actions”
The ad says“Familiarity with Microsoft Power Apps and Power Automate”
The ad says“Familiarity with Microsoft Power Apps and Power Automate”
The ad says“Deep technical expertise with Snowflake, dbt, Airflow and Power BI”
The ad says“Advanced SQL and Python development experience”
The ad says“Deep technical expertise with Snowflake, dbt, Airflow and Power BI”
The ad says“Advanced SQL and Python development experience”

Portage Point Partners is a Chicago-headquartered advisory, interim management and investment banking firm focused on serving the middle-market. Backed by New Mountain Capital, the firm has grown at over 30% annually since its founding in 2016 and today operates from ten offices across the United States.

The firm delivers integrated financial and operational solutions across Transaction Advisory Services, Transaction Execution Services, Office of the CFO, Valuations, Performance Improvement, Turnaround & Restructuring and Investment Banking. Engagement teams are lean and execution-oriented, working directly with senior stakeholders to navigate complex transitions and transformations.

Triple P India (TPI) is a strategic extension of the firm’s platform, established to build a high-quality team that operates as an integrated part of U.S.-based teams. Professionals in TPI are involved in live engagements from the outset, contributing to analysis, execution and client deliverables in coordination with colleagues across the firm. The platform is designed to provide meaningful responsibility, direct exposure to senior leadership and long-term growth in a high-performance environment.

The Data Analytics team serves as a strategic capability across Portage Point, enabling business intelligence, operational reporting, workflow automation, enterprise applications and emerging AI initiatives. This team partners with leaders across the firm to deliver scalable technology solutions that improve decision-making, enhance operational efficiency and support continued growth. Data Analytics team members are responsible for supporting and advancing the firm's data, reporting, automation and application development platforms.

The Vice President (VP), Data Analytics opportunity represents a unique opportunity to assume a wide range of responsibilities and make a significant impact. This VP will play a critical role in executing the strategy, architecture, governance and execution of modern data platform while partnering with analytics leaders to deliver solutions that drive measurable business impact. The VP, Data Analytics will report directly into the Senior Vice President, Data Analytics and lead Portage Point's India-based Data Analytics team, manage the delivery, operations and continued development of firm data, analytics and application platforms. A successful candidate will bring a combination of technical expertise, leadership capability and business acumen, with demonstrated experience building and managing modern analytics ecosystems leveraging Snowflake, dbt, Airflow, Power BI, Azure and Microsoft Power Platform technologies.

Responsibilities

Partner with senior team membersto lead and mentor a high-performing team of data engineers while fostering a culture of accountability, innovation, continuous improvement and operational excellence
Partner with business leaders to identify opportunities to improve reporting, automation and operational effectiveness
Drive adoption of enterprise analytics, self-service reporting and data-driven decision making across the organization
Help define architecture and governance standards for Snowflake, dbt, Airflow, Power BI, Azure and Power Platform solutions
Execute best practices for semantic modeling, business intelligence and reporting governance while ensuring data quality, reliability, security, scalability and performance across the firm’s technology ecosystem
Oversee enterprise data modeling, orchestration, transformation, reporting and analytics capabilities
Support the development of AI-enabled solutions and data products that create measurable business value
Lead sprint planning, prioritization, resource allocation and project execution activities
Drive delivery of enterprise applications, reporting solutions and automation initiatives
Emphasize engineering standards, development processes and quality assurance practices
Support talent acquisition and firm development efforts
Contribute to creating a high-performing and inclusive culture

Qualifications

Bachelor's degree in Computer Science, Engineering, Information Systems or Mathematics from a top undergraduate program required
Willing to relocate to or be primarily present in Gurgaon
Six plus years of experience in data engineering, analytics engineering, business intelligence, cloud platforms or related technical disciplines, preferably at a top-tier advisory firm serving U.S. clients
Experience leading technical teams and managing complex technology initiatives
Deep technical expertise with Snowflake, dbt, Airflow and Power BI
Demonstrated expertise with GitHub, including enterprise repository management, branching strategies, pull request workflows, code reviews, release management and CI / CD integration using GitHub Actions
Strong understanding of dimensional modeling, semantic modeling, enterprise reporting and modern data architecture
Experience designing and supporting cloud-based solutions within Microsoft Azure
Demonstrated ability to evaluate, adopt and leverage AI technologies to improve engineering productivity, automate business processes and enhance data-driven decision-making
Experience implementing AI-enabled solutions, workflow automation and digital transformation initiatives
Advanced SQL and Python development experience
Familiarity with Microsoft Power Apps and Power Automate
Experience establishing enterprise data governance frameworks
Superior written and verbal communication skills, including executive-ready presentation and reporting skills
Proven ability to thrive in lean, fast-moving teams
Experience in high-growth environments
High attention to detail, responsiveness and ownership mindset
Track record of success in high-pressure, client-facing environments