Data Solutions Sales Leader — End-to-End Growth

Datamatics Technologies LLC; Islamabad; Presencial; PKR 2 400 000 - 4 200 000; Tempo integral

Resumo da oferta

Datamatics Technologies LLC is seeking a Data Solutions Sales Manager in Islamabad to lead the full sales cycle for data management solutions, consulting services, and staff augmentation. You will develop opportunities from lead to close, coordinating with solution architects and delivery teams to shape client offers.

The role emphasizes building relationships with CIOs and IT leaders, negotiating contracts, and guiding clients through data governance, ETL/ELT, data warehousing, and cloud data

Qualificações

• Bachelor's degree in Business, CS, IT or related field.
• 7+ years B2B sales experience in IT services, software, or consulting.
• 3+ years selling data/analytics or related technology solutions.
• Proven experience selling IT staff augmentation or resource-based services.
• Track record of meeting/exceeding sales targets with discussable deal sizes and results.
• Understanding of data management concepts: data governance, data quality, MDM, ETL/ELT, data warehousing, data lakes, cloud data platforms.
• Experience with consultative and solution selling, including writing proposals and responding to RFPs.
• Existing network of decision makers in banking/telecom/retail/manufacturing/public sector (target region).
• Excellent communication, presentation, and negotiation skills.
• Disciplined pipeline tracking and forecasting in a CRM (Salesforce, HubSpot, Microsoft Dynamics, or similar).

Responsabilidades

• Generate leads via network, referrals, technology partners, and events.
• Qualify leads on business need, budget, decision maker, and timeline; maintain sufficient qualified pipeline.
• Keep opportunities current in CRM; track conversion rates, deal size, and sales cycle.
• Provide weekly pipeline updates and monthly/quarterly forecasts.
• Close new business for data management offerings: data governance, MDM, data quality, data integration, data warehousing, analytics platforms, cloud data modernization.
• Sell consulting services: assessments, strategy/roadmap engagements, implementation projects, managed services.
• Run client discovery sessions; translate data challenges into business cases.
• Work with pre-sales/technical teams on proposals, solution presentations, SOWs, and RFP/RFI responses.
• Lead pricing, terms, and contract negotiations through to signature.
• Build pipeline for staff augmentation roles: data engineers, data analysts, BI developers, data architects, cloud/integration specialists.
• Coordinate with talent/recruitment teams to present candidates and manage placement through onboarding.
• Negotiate rates, contract terms, and extensions; grow placements into larger teams or project engagements.
• Build trusted relationships with CIOs, CDOs, IT directors, procurement, and HR leaders.
• Cross-sell between solutions, consulting, and staff augmentation.
• Track client satisfaction; work with delivery teams to meet commitments.
• Build relationships with technology partners/vendors (cloud and data platform providers) for joint opportunities.
• Represent company at events, webinars, and client workshops.
• Stay current on data management market trends and competitor offerings.

Conhecimentos

Communication skills

Presentation skills

Negotiation skills

CRM forecasting

Sales target achievement

Networking with decision makers

Consultative selling

Data/analytics domain knowledge

Formação académica

Bachelor’s degree in Business/CS/IT

Ferramentas

Salesforce

HubSpot

Microsoft Dynamics

Descrição da oferta de emprego

Datamatics Technologies LLC is seeking a Data Solutions Sales Manager in Islamabad to lead the full sales cycle for data management solutions, consulting services, and staff augmentation. You will develop opportunities from lead to close, coordinating with solution architects and delivery teams to shape client offers.

The role emphasizes building relationships with CIOs and IT leaders, negotiating contracts, and guiding clients through data governance, ETL/ELT, data warehousing, and cloud data