Full-Time

Senior Project Manager

Data & AI

Posted on 9/18/2025

Deadline 11/15/25
Fractal Analytics

Fractal Analytics

5,001-10,000 employees

Enterprise AI solutions for decision making

Compensation Overview

$132k - $170k/yr

+ Discretionary bonus

New York, NY, USA

In Person

Category
Business & Strategy (1)
Requirements
  • 5–8 years of experience in Agile delivery, with 3+ years as a Scrum Master in data, AI, or software projects.
  • Proven ability to manage cross-functional technical teams (data science, engineering, software).
  • Experience in a professional services or consulting environment, working directly with clients.
  • Strong interpersonal skills: assertive, diplomatic, organized, and outcome-driven.
  • Proficient in tools such as DevOps, or similar platforms.
Responsibilities
  • Lead Agile ceremonies (planning, stand-ups, retrospectives, reviews) across 1–2 concurrent workstreams.
  • Support backlog grooming, sprint planning, and estimation processes in partnership with product owners and tech leads.
  • Maintain delivery momentum while protecting team focus and preventing scope creep.
  • Operate as a thought partner to clients, helping them understand Agile roles, prioritize high-value work, and adapt to change.
  • Serve as a communication bridge between business and technical stakeholders.
  • Guide client stakeholders on delivery governance, roadmap planning, and Agile maturity.
  • Promote a culture of psychological safety, continuous learning, and high accountability.
  • Help unblock delivery risks early—whether technical, interpersonal, or organizational.
  • Coach junior team members and client contributors on Agile best practices.
  • Understand the regulatory, operational, and data complexity within the energy/utility sector.
  • Apply Agile delivery within contexts like decarbonization initiatives, DER integration, electrification planning, and customer experience improvements.
Desired Qualifications
  • Familiarity with the energy/utilities industry or regulated sectors.
  • Experience in programs involving AMI data, forecasting, reliability analytics, or DER enablement.
  • Agile certifications (CSM, SAFe, PSM) and/or consulting credentials (PMP Agile, delivery excellence frameworks).

Fractal Analytics helps large enterprises use AI to improve decision making by combining AI, data engineering, and design across multiple products. Its offerings include Crux Intelligence for AI-driven insights, Eugenie.ai for sustainability, Asper.ai for revenue growth, and Senseforth.ai for conversational AI, plus Qure.ai in healthcare. The company applies machine learning, NLP, and data science to extract insights, automate tasks, and power enterprise conversations across analytics, sustainability, revenue, and customer interactions. Its goal is to power every human decision in the enterprise by delivering a broad enterprise-focused AI portfolio with a global delivery footprint and recognition from industry analysts and awards.

Company Size

5,001-10,000

Company Stage

IPO

Headquarters

New York City, New York

Founded

2000

Simplify Jobs

Simplify's Take

What believers are saying

  • Q3 revenue grew 21% YoY; Healthcare segment surged 78% YoY.
  • Six clients now generate $20M+ revenue each, up from four.
  • Triple-digit SaaS subscription growth offers valuation re-rating potential.

What critics are saying

  • 10% revenue from single Magnificent 7 client risks sudden loss.
  • PE shareholders flood market with ₹1,810 Cr OFS post-May 13.
  • OpenAI's o1 models commoditize Fractal's consulting via cheaper APIs.

What makes Fractal Analytics unique

  • India's first listed enterprise AI company with Fortune 500 client base.
  • PiEvolve autonomous ML engine surpasses 60% on OpenAI's MLE-Bench.
  • Healthcare AI model outperforms ChatGPT-5 and Gemini Pro 3.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Disability Insurance

401(k) Retirement Plan

401(k) Company Match

Paid Holidays

Parental Leave

Unlimited Paid Time Off

Growth & Insights and Company News

Headcount

6 month growth

1%

1 year growth

1%

2 year growth

1%
PR Newswire
Mar 5th, 2026
Newly listed Fractal crosses $12M net income in Q3, revenue grows 21% YoY

Fractal Analytics, a newly listed AI company, reported consolidated revenue of INR 8,544 million for Q3 FY2026, growing 21% year-on-year. The company's profit after tax reached INR 1,001 million, whilst adjusted EBITDA grew 24% to INR 1,521 million. Growth was driven by the Healthcare and Life Sciences segment, which grew 78% year-on-year, and Banking and Financial Services, up 26%. Fractal expanded its gross margin to 47.2% and achieved a net revenue retention of 114%. The company's AI health assistant became the first model to score above 50 on OpenAI's HealthBench (Hard), outperforming ChatGPT-5 and Gemini Pro 3. Fractal now serves six clients generating over $20 million in revenue each, up from four previously.

PR Newswire
Feb 24th, 2026
Fractal launches PiEvolve, surpassing 60% on OpenAI's MLE-Bench for autonomous machine learning

Fractal, a global enterprise AI company, has launched PiEvolve, an evolutionary agentic engine for autonomous machine learning and scientific discovery. The system ranks among top-performing agents on OpenAI's MLE-Bench, becoming the first evaluated agent to surpass 60% in Overall Medal Rate and 80% in MLE-Bench-Lite performance. PiEvolve continuously tests and improves solutions using a graph-structured search architecture that integrates reasoning, code generation and validation. It delivers competitive results within 24 hours whilst maintaining efficiency, with strong performance evident after just 12 hours of runtime. The system features continuous optimisation, intelligent memory to avoid local optima, dual strategy for debugging, and production-ready capabilities including pause and resume functions. Fractal aims to deploy PiEvolve across complex optimisation problems in supply chains, financial services and data centre operations.

Press Trust of India
Feb 9th, 2026
Fractal Analytics IPO receives lukewarm response with 9% subscription on day one

Fractal Analytics' initial public offering received a muted response on its first day of bidding on Monday, garnering just 9% subscription. The AI solutions provider received bids for 15.8 lakh shares against 1.86 crore shares on offer. The retail individual investors category attracted 35% subscription, whilst the non-institutional investors quota achieved 7% subscription. The three-day IPO continues through the week.

NiftyGPT
Feb 4th, 2026
Fractal Analytics launches ₹2,834cr IPO at ₹857-900, allocates 35% to AI R&D

Fractal Analytics has opened a ₹2,834-crore IPO at ₹857-₹900 per share, down from an original ₹4,900-crore target. The Mumbai-based analytics firm will allocate ₹355 crore—approximately 35% of proceeds—to AI development, research and investments, with remaining funds servicing debt and capital expenditure. The company is focusing resources on its Cogentic platform, which provides AI solutions for invoice-to-cash, customer experience and revenue growth. Fractal aims to expand margins and strengthen its position in healthcare, banking and consumer goods sectors. The IPO's timing benefits from easing US-India trade tensions and improved client spending conditions. The successful pricing may encourage further AI-focused listings in India's public markets.

The Hindu BusinessLine
Feb 3rd, 2026
Fractal Analytics slashes IPO size 42% to ₹2,834 crore ahead of February listing

Enterprise AI solutions unicorn Fractal Analytics has reduced its initial public offering size by 42% to ₹2,834 crore, according to a prospectus filed with SEBI on 2 February. The IPO comprises a fresh issue of ₹1,024 crore and an offer for sale of ₹1,810 crore. Major shareholders Quinag Bidco (managed by Apax Partners), TPG Fett Holdings and GLM Family Trust will sell stakes through the offer. The IPO opens on 9 February and closes on 11 February, with anchor bidding beginning on 6 February. The company had initially filed for an IPO size of ₹4,900 crore. Fractal has been selected by the Indian government to build India's first large reasoning model under the India AI Mission.

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