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This is a remote-based position within the Continental US. Our Company Founded in 1926, Maxor is a ... Bachelor's Degree in Finance, Business Analytics, Computer Information Systems, Data Science, or ...
This is a remote-based position within the Continental US. Our Company Founded in 1926, Maxor is a ... Bachelor's Degree in Finance, Business Analytics, Computer Information Systems, Data Science, or ...
This is a remote-based position within the Continental US. Our Company Founded in 1926, Maxor is a ... Bachelor's Degree in Finance, Business Analytics, Computer Information Systems, Data Science, or ...
This is a remote-based position within the Continental US. Our Company Founded in 1926, Maxor is a ... Bachelor's Degree in Finance, Business Analytics, Computer Information Systems, Data Science, or ...
Tech Lead, Web Core Product & Chrome Extension - Rochester, NY, USA
Rochester, NY · On-site +1
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Tech Lead, Web Core Product & Chrome Extension - Rochester, NY, USA
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Database Engineer I
Webster, NY · On-site +1
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Machine Learning Engineer New Grad 2024-2025 -Remote
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Machine Learning Engineer New Grad 2024-2025 -Remote
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Machine Learning Engineer New Grad 2024-2025 -Remote
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Quick apply
Cloud Engineer - Remote
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Remote - Nationwide, United States PLEASE NOTE: This position requires permanent U.S. work ... Bachelor's Degree in Computer Science, Engineering, MIS, or related technical field. * 5+ years ...
Remote - Nationwide, United States PLEASE NOTE: This position requires permanent U.S. work ... Bachelor's Degree in Computer Science, Engineering, MIS, or related technical field. * 5+ years ...
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Remote Amazon Data Science information
What is the difference between Remote Amazon Data Science vs Remote Amazon Data Analyst?
| Aspect | Remote Amazon Data Science | Remote Amazon Data Analyst |
|---|---|---|
| Required Credentials | Bachelor's/Master's in Data Science, Statistics, or related fields; programming skills in Python/R; experience with machine learning | Bachelor's in Data Analysis, Business, or related fields; proficiency in Excel, SQL, and data visualization tools |
| Work Environment | Collaborative teams, cross-functional projects, remote data science platforms | Remote reporting, data interpretation, and visualization tasks within Amazon teams |
| Employer & Industry Usage | Amazon's data science teams focusing on predictive modeling, ML, and AI | Amazon's data analysis teams focusing on reporting, dashboards, and business insights |
Remote Amazon Data Science involves developing machine learning models and advanced analytics, requiring programming and statistical skills. In contrast, Remote Amazon Data Analyst roles focus on interpreting data, creating reports, and supporting decision-making with less emphasis on coding. Both roles are integral to Amazon's data-driven strategies but differ in technical complexity and daily tasks.
Full-time
Posted 2 days ago
Job description
Sutherland seeks a digitally savvy, data driven Business Development Executive to join our Business Development team. This role is critical to expanding Sutherland's market presence by identifying, qualifying, and advancing new business opportunities with a focus on digital transformation services, AI, automation, and analytics solutions. The ideal candidate will combine strategic consultative selling skills, deep digital acumen, and an ability to engage with C-suite stakeholders, ultimately driving revenue growth and enhancing client partnerships in a highly competitive, technology-driven environment.
The Business Development Executive will play a pivotal role in generating pipeline opportunities, qualifying leads, and supporting deal progression within the Business Development (BD) function. Working in close collaboration with marketing, solution teams, and delivery leadership, this role requires a deep understanding of digital customer experience (CX), AI-driven solutions, data analytics, and omnichannel engagement strategies. The executive will leverage market insights, predictive analytics, and customer intelligence to build compelling, data-supported value propositions that drive business impact for clients.
KEY RESPONSIBILITIES:
- Lead Generation & Qualification: Source and qualify new leads through inbound, outbound, event-driven, and prospecting.
- Pipeline Management: Build and manage a healthy, balanced, full-funnel sales pipeline across all Sutherland services, ensuring consistent movement of opportunities from prospecting to closure.
- Consultative Solution Selling: Position Sutherland's digital-first, AI-enabled solutions effectively by understanding client pain points, business needs, and operational challenges.
- Data-Driven Storytelling: Leverage customer, operational, and market data to present clear, business-impacting value propositions.
- Client Engagement: Initiate and support executive-level conversations with prospective clients, including CxOs, to influence digital transformation agendas.
- Market & Competitive Intelligence: Stay ahead of industry trends, competitive movements, and emerging technology innovations to inform sales strategies.
- Collaboration: Partner with marketing, tech, and delivery teams to align go-to-market (GTM) efforts and craft tailored solutions.
- Operational Excellence: Track and optimize key KPIs including sales cycle length, proposal-to-win ratios, and conversion rates.
A. Education & Experience
- Bachelor's or master's degree in business, Data Science, Technology, or related field.
- Prior experience in a B2B, technology-driven consulting, inside sales, or digital transformation sales environment.
- Familiarity with BPO, IT services, or enterprise solutions preferred.
B. Critical Competencies
- Digital & Technology Acumen: Deep understanding of AI, automation, cloud, SaaS, and digital CX platforms.
- Data-Driven Decision Making: Strong analytical skills with the ability to translate data insights into sales strategies.
- Consultative Selling & Business Case Development: Ability to develop compelling ROI models and business-impact cases.
- Market Intelligence: Awareness of industry disruptions, competitor strategies, and digital trends.
- Customer-Centric Approach: Proficient in customer journey mapping, VoC analysis, and personalization tactics.
- Agility & Adaptability: Thrive in fast-paced, evolving environments; able to pivot strategies quickly.
- Stakeholder Management: Capable of building executive-level relationships and driving cross-functional collaboration.
- Communication & Storytelling: Exceptional skills in presenting data-supported narratives and influencing decision-makers.
Key Result Areas (KRAs):
Measure of Success
- Pipeline Growth & Health;
- Growth in qualified opportunities across all services
- Revenue Generation;
- New revenue from digital transformation deals, ACV/TCV targets
- Lead Conversion Rates;
- Qualified leads, lead-to-opportunity, and opportunity-to-close conversion rates
- Consultative Sales Impact;
- Number of consultative engagements and business cases developed
- CxO-Level Engagements;
- Number of strategic, executive-level conversations initiated
- Market Positioning & Thought Leadership;
- Participation in industry events, publications, and content contributions
- Sales Cycle Optimization;
- Reduction in average deal closure time and dwell time within pipeline stages
- Operational Efficiency;
- Proposal-to-win ratio improvements, adherence to pipeline progression KPIs
- Client Retention & Expansion;
- Growth in upsell/cross-sell opportunities within existing accounts
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