Director - Consulting

Sigmoid Data Engineering; West New York (NJ); On-site; USD 150,000 - 230,000; Full time

Job summary

Sigmoid Data Engineering in West New York, NJ, seeks a senior Pharma consulting leader with strong Data & Analytics and technology-driven transformation. You will engage VP+ stakeholders, articulate how AI and data-driven solutions solve business problems across the Pharma Commercial value chain, and work with Sales, Account Management, and delivery teams.

You will lead onsite engagements, shape solutions, and craft differentiated offerings around Pharma Commercial analytics and AI, with a 50/50

Qualifications

• 15+ years of Pharma Commercial consulting, analytics, or technology transformation.
• Proven ability to lead presales and manage senior client stakeholders (VP+).
• Strong understanding of data & analytics, AI/ML, cloud and modern data platforms.
• Experience balancing presales and delivery responsibilities (~50:50).
• Excellent executive communication and storytelling skills.

Responsibilities

• Lead consultative discussions, workshops, and executive presentations.
• Drive presales with opportunity qualification, solution development, proposals and RFPs.
• Deliver onsite engagements and align technology with business outcomes.
• Develop GTM narratives and differentiated offerings around pharma analytics and AI.

Skills

Consultative selling

Client advisory

Presales leadership

Executive communication

Storytelling

Tools

AI/ML

Cloud platforms

Data analytics platforms

Job description

Key Responsibilities

Consultative Sales & Client Advisory

Pharma Commercial Consulting & Data Analytics Leader

Role Overview

We are looking for a senior Pharma consulting leader with strong expertise in Data & Analytics (D&A) and technology-led transformation. This individual will be part of the Business Consulting Group and will work closely with Account Management and Sales teams to drive consultative client engagement, solutioning, presales, and onsite delivery leadership for strategic Pharma and Consumer Health clients.

The ideal candidate should be able to engage credibly with senior client stakeholders (VP+ level) and articulate how technology, AI, and data-driven solutions can solve complex business problems across the Pharma Commercial value chain.

Key Responsibilities

Consultative Sales & Client Advisory

• Partner with Sales and Account teams to drive strategic growth opportunities across Pharma and Consumer Health accounts.
• Lead client-facing consultative discussions, workshops, roadshows, and executive presentations.
• Influence customer decision-making through domain-led solutioning and thought leadership.
• Engage with senior client stakeholders (VP/CXO level) across Commercial, Marketing, Sales, and Analytics functions.

Presales & Solution Leadership

• Own and lead presales efforts including:
  • Opportunity qualification
  • Solution development
  • Proposal creation
  • RFP responses
  • POV creation and storytelling
• Provide outside-in industry perspectives and inside-out capability positioning.
• Build differentiated offerings and GTM narratives around Pharma Commercial analytics and AI.

Delivery Leadership

• Lead onsite delivery engagements for strategic clients.
• Work closely with global delivery teams to ensure successful execution and client satisfaction.
• Act as a trusted advisor to clients while ensuring alignment between business outcomes and technology implementation.

Functional Expertise Required

• Strong understanding of Pharma Commercial business processes and analytics use cases, including:
  • Sales Force Effectiveness
    • HCP targeting and segmentation
    • Next Best Action strategies
    • GTM optimization
  • Marketing & Customer Engagement
    • Omnichannel engagement
    • Personalized customer experiences
    • Campaign and behavioral analytics
  • Pricing & Market Access
    • Competitive intelligence
    • Pricing strategy
    • Reimbursement analytics
  • Brand Launch Optimization
    • Demand forecasting
    • Launch planning and uptake optimization
  • Patient Journey Analytics
    • Treatment pattern analysis
    • Patient-centric engagement strategies

The candidate should be able to clearly connect business problems with technology, AI, and D&A-led solutions.

Desired Candidate Profile

• 15+ years of experience in Pharma Commercial consulting, analytics, or technology transformation.
• Strong experience in consultative selling and presales leadership.
• Proven ability to manage and influence senior client stakeholders (VP+).
• Hands-on understanding of Data & Analytics, AI/ML, cloud, and modern data platforms.
• Experience balancing presales and delivery responsibilities (~50:50 split).
• Strong executive communication and storytelling skills.