Senior Sales Director

We are looking for a high-performing Senior Sales Leader with a strong hunter mindset to drive new client acquisition and revenue growth for our Data Analytics solutions business in the United States.

The ideal candidate will bring 15–18 years of experience in enterprise technology sales, with a proven track record of acquiring new logos, building senior-level client relationships, and closing high-value deals involving Data Analytics, Data Engineering, Business Intelligence, Cloud Data Platforms, and AI-driven analytics solutions.

This is a new-business-focused role for an accomplished sales professional who can independently identify target accounts, open doors with C-suite executives and business decision-makers, develop compelling value propositions, and convert opportunities into strategic client engagements.

The primary mandate is to acquire new logos, build a strong sales pipeline, and deliver measurable revenue growth in the US market.

Key Responsibilities

1. New Logo Acquisition

• Identify, qualify, and acquire new enterprise clients across the US market for Data Analytics and related technology services.
• Develop and execute a focused hunting strategy targeting mid-market and large enterprise organizations.
• Build a robust pipeline through proactive prospecting, cold outreach, networking, referrals, industry events, and strategic partnerships.
• Own the complete new-business sales cycle, from account identification and first engagement through solution positioning, negotiation, and deal closure.
• Consistently achieve and exceed new-logo acquisition, pipeline generation, and revenue targets.

2. Enterprise Solution Selling

• Sell Data Analytics and data-led digital transformation solutions, including Data Engineering, Business Intelligence, Cloud Data Platforms, Data Modernization, Advanced Analytics, and AI/ML-enabled solutions.
• Understand client business challenges and translate them into relevant technology and services opportunities.
• Position differentiated solutions that demonstrate measurable business value, operational efficiency, improved decision-making, and return on investment.
• Collaborate with presales, solution architects, and delivery teams to develop proposals, solution approaches, and commercial offerings.
• Drive consultative, value-based selling rather than transactional or commodity-led sales.

3. C-Suite Engagement and Relationship Building

• Establish relationships with CXOs, CIOs, CTOs, Chief Data Officers, Chief Analytics Officers, business heads, and other enterprise decision-makers.
• Build access to buying committees and influence stakeholders across business, technology, procurement, and finance.
• Lead executive-level discussions, discovery meetings, solution presentations, and commercial negotiations.
• Develop a strong understanding of client priorities, technology investments, and business transformation agendas to identify new opportunities.

4. Pipeline Development and Revenue Ownership

• Build and maintain a healthy, qualified sales pipeline aligned with annual revenue and new-logo targets.
• Manage opportunity progression, sales forecasting, pipeline reviews, and deal qualification.
• Develop account-entry strategies, pursuit plans, and stakeholder maps for high-potential target organizations.
• Take ownership of commercial negotiations, pricing discussions, and contract closures in collaboration with internal teams.
• Maintain accurate CRM records and provide transparent reporting on pipeline health, conversion rates, and forecasted revenue.

5. Market Development and Collaboration

• Identify emerging market opportunities, industry trends, and competitive positioning within the US Data Analytics services landscape.
• Develop targeted go-to-market strategies for selected industries and customer segments.
• Work closely with marketing, presales, solutioning, and delivery teams to convert market opportunities into client engagements.
• Represent the organization at relevant industry forums, executive networking events, and client meetings.

Required Qualifications and Experience

• 15–18 years of overall experience in enterprise technology sales, IT services sales, or consulting-led solution selling.
• Demonstrated success in new-logo acquisition and hunting new enterprise accounts in the US market.
• Strong experience selling Data Analytics, Data Engineering, Business Intelligence, Cloud Data, Data Modernization, or related data and AI solutions.
• Proven ability to originate opportunities independently and close complex, high-value enterprise deals.
• Established network and demonstrated access to senior decision-makers within US-based enterprises.
• Experience managing long, consultative sales cycles involving multiple stakeholders and complex commercial negotiations.
• Strong understanding of enterprise data ecosystems, analytics platforms, cloud technologies, and modern data-driven business use cases.
• Excellent communication, presentation, negotiation, and executive relationship-building skills. xuwmhxw
• Ability to work independently, operate in a target-driven environment, and deliver against aggressive growth objectives.