Associate Director/Director - Pharma Forecasting & Analytics (1268)

Axtria Introduction

Axtria is a global provider of cloud software and data analytics to the Life Sciences industry. We help Life Sciences companies transform the product commercialization journey to drive sales growth and improve patient healthcare outcomes. We are acutely aware that our work impacts millions of patients and lead passionately to improve their lives.

Why join Axtria?

Since our founding in 2010, technology innovation has been our winning differentiation, and we continue to leapfrog the competition with platforms that deploy Artificial Intelligence and Machine Learning. Our cloud-based platforms - Axtria DataMax™, Axtria InsightsIQ™, Axtria SalesIQ™, and Axtria MarketingIQ™ - enable customers to efficiently manage data, leverage data science to deliver insights for sales and marketing planning, and manage end-to-end commercial operations. With customers in over 30 countries, Axtria is one of the biggest global commercial solutions providers in the Life Sciences industry. We continue to win industry recognition for growth. We are featured in some of the most aspirational lists - INC 5000, Deloitte FAST 500, NJBiz FAST 50, SmartCEO Future 50, Red Herring 100, and other growth and technology awards.

• Bain Capital PE Invested $150M in platforms/Business Growth

• High growth each year since 2010 and private.

• Co-Founders of MarketRx.

• Humble and Entrepreneur Culture.

Axtria is looking for exceptional talent to join our rapidly growing global team. People are our biggest perk! Our transparent and collaborative culture offers a chance to work with some of the brightest minds in the industry.

Role Overview

The Associate Director, Forecasting is a client‑facing leader responsible for delivering high‑impact forecasting engagements and serving as a trusted advisor to senior client stakeholders. This role blends analytical leadership with consulting rigor—owning end‑to‑end client deliverables, translating complex analyses into executive‑ready insights, and building durable relationships with senior leaders. The Associate Director is accountable for both what is delivered and how it is experienced by the client.

Key Responsibilities Client Leadership & Relationship Management

• Serve as the client lead for forecasting engagements, building credibility with senior leaders

• Develop trusted‑advisor relationships by proactively surfacing insights, risks, and decision implications

• Lead executive‑level discussions, steering conversations from data to implications, trade‑offs, and actionable recommendations

• Lead client discussions aimed at identifying business issues/needs, articulating precise problem statements, devising solution approach/methodology, and leading project delivery and analytical troubleshooting.

• Anticipate client needs and shape follow‑on work by identifying new questions, uncertainties, or decision points

Delivery Ownership & Quality Assurance

• Own end‑to‑end delivery of forecasting engagements (Long Range Plans, assumptions development, BD&L), including timelines, scope, assumptions, and final outputs

• Manage multiple concurrent projects ensuring exceptional client satisfaction and on-time delivery.

• Ensure all client deliverables are analytically sound, clearly structured, and executive‑ready (slides, models, narratives)

• Translate complex model outputs, scenarios, and uncertainties into concise, decision‑focused stories for senior leadership

• Set and enforce high quality standards across models, documentation, and client materials

Team Leadership & Collaboration

• Partner with onshore and offshore teams (Directors / Managers), providing clear direction, feedback, and mentorship

• Guide teams on forecasting methodologies, assumption development, scenario planning, and risk assessment

• Collaborate closely with account leads, partners, and cross‑functional experts to deliver integrated solutions

Strategic Thinking & Problem Solving

• Frame ambiguous client questions into structured forecasting problems aligned to business decisions

• Challenge assumptions and pressure‑test scenarios to ensure forecasts are robust, unbiased, and decision‑relevant

• Incorporate market dynamics, competitive intelligence, and uncertainty into forecast narratives

Qualifications

• Bachelor’s degree in a quantitative or related field (Engineering, Computer Science, Operations Research, Economics, Statistics, etc.) with 10+ years of relevant experience

• Deep experience leading client engagements and presenting to senior executives

• Working knowledge of pharma industry datasets: claims data, IQVIA XPONENT, NPA, NSP, 867, or similar datasets.

• Strong understanding of forecasting concepts (e.g., drivers, scenarios, uncertainty, launch forecasting)

• Experience in life sciences, healthcare, or other data‑intensive industries strongly preferred

Core Competencies

• Executive Communication: Clear, concise, and confident with senior leaders

• Client Ownership: Takes full accountability for outcomes and client satisfaction

• Structured Thinking: Breaks complex problems into decision‑oriented frameworks

• Influence Without Authority: Aligns stakeholders and teams through credibility and insight

• Coaching Mindset: Develops talent while maintaining delivery excellence

• Innovation: Seeks opportunities to continuously improve processes and analytics using AI

Measures of Success

• High client satisfaction and repeat engagement with senior stakeholders

• Consistently on‑time, high‑quality deliverables that influence real decisions

• Strong project team performance, morale, and skill development

• Recognition as a trusted forecasting and strategic thought partner

Pay Transparency Laws

Salary range or hourly pay range for the position

The salary range for this position is $157,600 to $205,425 annually. The actual salary will vary based on applicant’s education, experience, skills, and abilities, as well as internal equity and alignment with market data. The salary may also be adjusted based on applicant’s geographic location.

The salary range reflected is based on a primary work location of Berkeley Heights, New Jersey. The actual salary may vary for applicants in a different geographic location.

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