Braun Board

Sales Director - Pharma & Life Sciences

Tiger Analytics Inc. · New York, NY

Base
Not disclosed
OTE
Not disclosed
Posted
2mo ago

Still open · checked 2h agoon Tiger Analytics Inc.'s careers page

The job

What you'd do
Sell AI, GenAI, and advanced analytics consulting to Fortune 500 pharma, biotech, and medical device firms. You generate your own qualified leads and convert them into multi-million-dollar, long-term accounts.
Who you'd sell to
Still reading the posting. Check back within the hour.
Where deals come from
Mostly you. Expect a lot of outbound: cold calls, emails and LinkedIn.

The Braun Read

Ask hard questions

Too much is left unsaid. Make them answer before you invest.

Pay
No pay listed at all.
Transparency
Says nothing about quota, attainment, deal size, territory or sales cycle.
Time on market
Open 80 days. Ask why it's been hard to fill.
Company hiring
8 sales roles open, hiring at a steady pace.

Based only on what the posting says. Lights are a starting point for your first call, not a final judgment.

Questions to ask on the first call

Built from what this posting leaves out. How they answer tells you as much as what they say.

  1. 1.

    What percentage of fully ramped reps hit quota last year?

    OTE is what you could earn. This is how likely you are to earn it.

  2. 2.

    What are the base and the OTE for this role?

    No point investing hours before you know the number.

  3. 3.

    What's the annual quota, and how was it set?

    A quota built from real data is a target. Otherwise it's a hope.

  4. 4.

    What share of last year's closed deals did reps source themselves?

    Shows how much pipeline you'll have to build on your own.

  5. 5.

    How long is ramp, and what's the quota during it?

    Full quota on day one means you start behind.

  6. 6.

    Why is this role open? Did someone leave, or is it new?

    New headcount is growth. A replacement means someone left. Ask why.

› When the offer comes

Save these for later. They land better once they've said yes to you.

  1. 1.

    Can I see the full comp plan in writing, including clawbacks and accelerators?

    What's in writing is what gets paid. Read it before you sign.

  2. 2.

    Can I see the actual comp distribution for the team last year, not just the OTE?

    The spread shows what most reps really take home. OTE is just the target.

  3. 3.

    I'd be walking away from earned commission to join. Is there room for a sign-on bonus to help cover that?

    Leaving money behind is a fair reason to ask. The worst answer is no.

Josh's top five questions for any sales interview →

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Full posting
Tiger Analytics is looking for a Sales Director – Pharma & Life Sciences to join our fast-growing AI/Advanced Analytics consulting firm. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. Based in the New York/New Jersey area, the Sales Director will be an integral part of the Sales Team and reporting directly to the Chief Sales Officer, play a fundamental role in driving our client acquisition and revenue growth in the Pharmaceutical & Life Sciences (Pharma/LS) sector. The Sales Director will be responsible for: - First impressions with C-level executives, SVP/VPs, and Leaders across Commercial Analytics, R&D, Clinical Development, Patient Services, and IT/Data Engineering in top Life Sciences enterprises. - Strategic partnerships with cloud ecosystem and domain platforms (e.g., AWS, Azure, GCP, Databricks, Snowflake, Veeva, and IQVIA). - High-impact presentations and tailored solution pitches showcasing AI, Generative AI, Commercial Data Products, and Advanced Analytics capabilities. - Active participation at relevant industry conferences (e.g., PMSA, SCOPE, Summit for Clinical Ops, Bio-IT World), executive roundtables, and regional Life Sciences events. - Generation of qualified leads and transitioning those leads to multi-million-dollar long-term accounts across pharmaceutical, biotechnology, and medical device organizations. Requirements - 10+ years of experience in client-facing sales, account management, or business development roles within technology consulting and data/AI services. - Bachelor’s Degree, preferably in Engineering, Math, Statistics, or a related quantitative discipline; master’s degree or MBA a plus. - Deep expertise selling Analytics, Big Data, Cloud, and AI solutions specifically into US Fortune 500 Pharmaceutical, Biotech, and Medical Device enterprise clients (revenues > $1 billion). - Industry focuses on Pharma & Life Sciences data domains: Commercial Analytics (Next-Best-Action, Media Mix Modeling, Patient Journey), Real-World Data/Evidence (RWD/RWE), Master Data Management (HCP/HCO), Clinical Trials Optimization, and Medical Access. - Strong understanding of standard healthcare and life sciences datasets (e.g., IQVIA, Veeva, LAAD, APLD, Komodo, Optum, Flatiron). - Ability to navigate complex regulatory, GxP, and HIPAA compliance environments during enterprise procurement and contract cycles. - Excellent relationship-building and account management skills with senior client stakeholders up to the C-suite. - Results-oriented, innovative, and energetic team player with an entrepreneurial mindset and extreme accountability for revenue targets. - Outstanding verbal and written communication and presentation skills tailored for executive audiences. - Willingness to travel across major North American hubs as needed to drive client relationships. - Cross-cultural and onshore-offshore delivery model experience working with globally distributed presales, domain, and delivery teams. - Prior experience with CRM tools (e.g., Salesforce, ZohoCRM, HubSpot). Benefits This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
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