דרושים Technical Sales Engineer ב-United States, New York, New York

Your key responsibilities

As an IBM Alliance SE, you’ll be responsible for leading Alliance sales activity by delivering against defined sales and pipeline targets. You’ll build relationships with top priority clients for joint alliance pursuits and drive sales directly in the market. You’ll be a subject matter expert on the alliance program; IBM powered transformations and solutions and joint EY-IBM value proposition. You will have expertise and experience in the IBM platform and solutions including but not limited to: Apptio, Watson, RedHat, SW AG and Hashicorp, their sales & GTM motions, developing/ maintaining relevant alliance partner relationships and able to lead pursuits independently through qualification phase if needed. Your time will be primarily focused on external selling, actively engaging with IBM, your client(s) and EY account and industry leadership.

To qualify for the role, you must have

• 10-12 years of quota carrying sales experience in professional services, solutions, and technology.
• Direct enterprise and alliance channel sales experience
• Experience selling enterprise solutions to Financial Services organizations (Banking, Capital Markets, Insurance and Wealth and Asset Management)
• Services sales experience working at a Big 4 firm. Accenture, IBM or other GSI
• Experience teaming with other system integrators around joint services solutions.
• Knowledge and expertise of IBM technology solutions and platforms
• A proven record of selling complex digital, technology and/or managed services solutions to the "C" level of Fortune 500 companies.
• Expert client management and relationship skills, strong executive presence, and expertise in influencing without authority.
• Knowledge of EY’s Alliances, products and services
• Solid understanding of the marketplace/industry, competitive intel, and target account profiles information
• Strong knowledge of current and emerging sales tools, methodologies and go-to-market models including social media.
• Strong sector or technical content expertise
• Strong ability to manage and resolve conflict.
• A University/bachelor’s degree

Ideally, you’ll also have

• An advanced degree or MBA
• Technical IT background
• Delivery management leadership experience
• Selling experience with IBM’s recent acquisitions (Redhat, Apptio, SW AG, Hashicorp) solutions
• AI solution selling experience, ideally with IBM watsonx products.
• Joint services experience.
• Strong coaching and mentoring skills
• Team selling experience.
• Ability to travel.

What we offer you
At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn .

• We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $221,410 to $280,070 plus participation in an incentive compensation program applicable to Sales Executives. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $265,650 to $318,290 plus participation in an incentive compensation program applicable to Sales Executives. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
• Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.
• Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.

With deep functional and sector expertise, paired with innovative AI-powered technology and an investor mindset, we partner with CEOs, Boards, Private Equity and Governments every step of the way – enabling you to shape your future with confidence.

The role involves the identification and articulation of key value points related to deal closing mechanics to assist clients in their negotiations of M&A pricing and associated transaction documents. You will interact with deal teams and clients across all stages of the deal continuum including planning, negotiation, signing, closing, and post-closing. The role will enable you to:

• Develop a specialized skill set in a high value-add area for corporate and private equity clients.
• Gain experience on a wide range of transactions (on both the buy-side and the sell-side) in different sectors and markets.
• Improve analytical and negotiation techniques.
• Gain insight into key value levers for clients in negotiating key deal value points and SPAs.
• Advise and support negotiations with senior members of client and counterparty teams along with their advisors.
• Work closely with due diligence teams to identify and mitigate risk for clients.
• Work across borders with our global network of deal professionals.
• Develop a strong internal and external network.

Working closely with clients, their bankers and legal advisers, transaction diligence teams and other SPA Advisory team members to manage and deliver advice around the deal price adjustment mechanisms on M&A transactions, including (i) analysis of cash, debt and working capital adjustments; (ii) preparation of pricing schedules; (iii) reviewing and commenting on the financial aspects of the SPA; (iv) assisting the client with their preparation or review of closing accounts; and (v) performing leakage reviews (on locked box transactions). Your key responsibilities will include:

• Supervising senior associates and associates, with the opportunity to lead and work directly with Partners, Managing Directors, and Senior Directors to provide insightful, deal-relevant points of view and recommendations to the client.
• Supporting client negotiations with the counterparty on transactions.
• Drafting detailed and compelling outputs for clients.
• Building valued relationships with external clients and internal peers to develop a portfolio of projects by focusing on high value opportunities.
• Taking ownership of Quality and Risk Management (Q&RM) to ensure client work is delivered consistently and in compliance with EY's quality standards.
• Communicating with partners and senior directors in a flat team structure.

Skills and attributes for success

• Confident interpersonal skills and a positive attitude.
• Comfortable working both independently or in a team.
• Eagerness to learn and an entrepreneurial mindset.
• Desire to develop strong internal and external networks.
• Strong communication skills.
• Critical thinker with very good attention to detail.
• Ability to work to tight project deadlines.
• Ability to simultaneously handle diverse and pressing assignments and sensitive and adversarial situations.

To qualify for the role, you must have

• A bachelor's degree in Accounting or Finance and 5 years of related work experience; or a graduate degree and 4 years of related work experience.
• Excellent analytical skills and the confidence to translate complex data into meaningful insights.
• The ability to prioritize effectively on projects and the skills to adapt quickly to new challenges and concepts.
• Solid negotiation and influencing skills, and the ability to develop long-lasting relationships both internally and externally.
• Strong skills in Excel, Word, and PowerPoint.
• Strong written and verbal communication skills.
• A team-oriented mindset.
• You must either reside in or be in a commutable distance to your office location for this position.
• The ability and willingness to travel and work in excess of standard hours when necessary. In certain circumstances, travel may be required beyond your work location based on client and project needs.

Ideally, you will have

• A proven record of excellence in a role directly supporting or giving familiarity with mergers or acquisitions transactions.
• An active CPA certification or formal accounting training.
• Experience gained within another large professional services organization.
• Established networking skills in a relevant industry.
• Knowledge of how to leverage firm-approved AI tools in a business setting, including Microsoft Copilot.

What we look for

Technology – Data and Decision Science – Data Engineering – Manager

In this role, you will design and build analytics solutions that deliver significant business value. You will collaborate with other data and analytics professionals, management, and stakeholders to ensure that business requirements are translated into effective technical solutions. Key responsibilities include:

• Understanding and analyzing business requirements to translate them into technical requirements.
• Designing, building, and operating scalable data architecture and modeling solutions.
• Staying up to date with the latest trends and emerging technologies to maintain a competitive edge.

Key Responsibilities:

As a Data Engineering Manager, you will play a crucial role in managing and delivering complex technical initiatives. Your time will be spent across various responsibilities, including:

• Leading workstream delivery and ensuring quality in all processes.
• Engaging with clients on a daily basis, actively participating in working sessions, and identifying opportunities for additional services.
• Implementing resource plans and budgets while managing engagement economics.

This role offers the opportunity to work in a dynamic environment where you will face challenges that require innovative solutions. You will learn and grow as you guide others and interpret internal and external issues to recommend quality solutions. Travel may be required regularly based on client needs.

Skills and attributes for success:

To thrive in this role, you should possess a blend of technical and interpersonal skills. The following attributes will make a significant impact:

• Lead the design and development of scalable data engineering solutions using Databricks on cloud platforms (e.g., AWS, Azure, GCP).
• Oversee the architecture of complex cloud analytics solutions, ensuring alignment with business objectives and best practices.
• Manage and mentor a team of data engineers, fostering a culture of innovation, collaboration, and continuous improvement.
• Collaborate with clients to understand their analytics needs and deliver tailored solutions that drive business value.
• Ensure the quality, integrity, and security of data throughout the data lifecycle, implementing best practices in data governance.
• Drive end-to-end data pipeline development, including data ingestion, transformation, and storage, leveraging Databricks and other cloud services.
• Communicate effectively with stakeholders, including technical and non-technical audiences, to convey complex data concepts and project progress.
• Manage client relationships and expectations, ensuring high levels of satisfaction and engagement.
• Stay abreast of the latest trends and technologies in data engineering, cloud computing, and analytics.
• Strong analytical and problem-solving abilities.
• Excellent communication skills, with the ability to convey complex information clearly.
• Proven experience in managing and delivering projects effectively.
• Ability to build and manage relationships with clients and stakeholders.

To qualify for the role, you must have:

• Bachelor’s degree in computer science, Engineering, or a related field required; Master’s degree preferred.
• Typically, no less than 4 - 6 years relevant experience in data engineering, with a focus on cloud data solutions and analytics.
• Proven expertise in Databricks and experience with Spark for big data processing.
• Strong background in data architecture and design, with experience in building complex cloud analytics solutions.
• Experience in leading and managing teams, with a focus on mentoring and developing talent.
• Strong programming skills in languages such as Python, Scala, or SQL.
• Excellent problem-solving skills and the ability to work independently and as part of a team.
• Strong communication and interpersonal skills, with a focus on client management.

Required Expertise for Managerial Role:

• Strategic Leadership: Ability to align data engineering initiatives with organizational goals and drive strategic vision.
• Project Management: Experience in managing multiple projects and teams, ensuring timely delivery and adherence to project scope.
• Stakeholder Engagement: Proficiency in engaging with various stakeholders, including executives, to understand their needs and present solutions effectively.
• Change Management: Skills in guiding clients through change processes related to data transformation and technology adoption.
• Risk Management: Ability to identify potential risks in data projects and develop mitigation strategies.
• Technical Leadership: Experience in leading technical discussions and making architectural decisions that impact project outcomes.
• Documentation and Reporting: Proficiency in creating comprehensive documentation and reports to communicate project progress and outcomes to clients.

Large-Scale Implementation Programs:

1. Enterprise Data Lake Implementation: Led the design and deployment of a cloud-based data lake solution for a Fortune 500 retail client, integrating data from multiple sources (e.g., ERPs, POS systems, e-commerce platforms) to enable advanced analytics and reporting capabilities.
2. Real-Time Analytics Platform: Managed the development of a real-time analytics platform using Databricks for a financial services organization, enabling real-time fraud detection and risk assessment through streaming data ingestion and processing.
3. Data Warehouse Modernization: Oversaw the modernization of a legacy data warehouse to a cloud-native architecture for a healthcare provider, implementing ETL processes with Databricks and improving data accessibility for analytics and reporting.

Ideally, you’ll also have:

• Experience with advanced data analytics tools and techniques.
• Familiarity with machine learning concepts and applications.
• Knowledge of industry trends and best practices in data engineering.
• Familiarity with cloud platforms (AWS, Azure, GCP) and their data services.
• Knowledge of data governance and compliance standards.
• Experience with machine learning frameworks and tools.

Technology – Data and Decision Science – Data Engineering – Senior

In this role, you will design and build analytics solutions that deliver significant business value. You will collaborate with other data and analytics professionals, management, and stakeholders to ensure that technical requirements align with business needs. Your responsibilities will include creating scalable data architecture and modeling solutions that support the entire data asset lifecycle.

Your key responsibilities

As a Senior Data Engineer, you will play a pivotal role in transforming data into actionable insights. Your time will be spent on various responsibilities, including:

• Designing, building, and operating scalable on-premises or cloud data architecture.
• Analyzing business requirements and translating them into technical specifications.
• Optimizing data flows for target data platform designs.
• Design, develop, and implement data engineering solutions using Databricks on cloud platforms (e.g., AWS, Azure, GCP).
• Collaborate with clients to understand their data needs and provide tailored solutions that meet their business objectives.
• Lead end-to-end data pipeline development, including data ingestion, transformation, and storage.
• Ensure data quality, integrity, and security throughout the data lifecycle.
• Provide technical guidance and mentorship to junior data engineers and team members.
• Communicate effectively with stakeholders, including technical and non-technical audiences, to convey complex data concepts.
• Manage client relationships and expectations, ensuring high levels of satisfaction and engagement.
• Stay updated with the latest trends and technologies in data engineering and cloud computing.

This role offers the opportunity to work with cutting-edge technologies and stay ahead of industry trends, ensuring you gain a competitive advantage in the market. The position may require regular travel to meet with external clients.

Skills and attributes for success

To thrive in this role, you will need a blend of technical and interpersonal skills. Your ability to communicate effectively and build relationships will be crucial. Here are some key attributes we look for:

• Strong analytical and decision-making skills.
• Proficiency in cloud computing and data architecture design.
• Experience in data integration and security.
• Ability to manage complex problem-solving scenarios.

To qualify for the role, you must have

• A Bachelor’s degree in Computer Science, Engineering, or a related field required (4-year degree). Master’s degree preferred
• Typically, no less than 2 - 4 years relevant experience in data engineering, with a focus on cloud data solutions.

• 5+ years of experience in data engineering, with a focus on cloud data solutions.
• Expertise in Databricks and experience with Spark for big data processing.
• Proven experience in at least two end-to-end data engineering implementations, including:

• Implementation of a data lake solution using Databricks, integrating various data sources, and enabling analytics for business intelligence.

• Development of a real-time data processing pipeline using Databricks and cloud services, delivering insights for operational decision-making.

• Strong programming skills in languages such as Python, Scala, or SQL.
• Experience with data modeling, ETL processes, and data warehousing concepts.
• Excellent problem-solving skills and the ability to work independently and as part of a team.
• Strong communication and interpersonal skills, with a focus on client management.

Required Expertise for Senior Consulting Projects:

• Strategic Thinking: Ability to align data engineering solutions with business strategies and objectives.
• Project Management: Experience in managing multiple projects simultaneously, ensuring timely delivery and adherence to project scope.
• Stakeholder Engagement: Proficiency in engaging with various stakeholders, including executives, to understand their needs and present solutions effectively.
• Change Management: Skills in guiding clients through change processes related to data transformation and technology adoption.
• Risk Management: Ability to identify potential risks in data projects and develop mitigation strategies.
• Technical Leadership: Experience in leading technical discussions and making architectural decisions that impact project outcomes.
• Documentation and Reporting: Proficiency in creating comprehensive documentation and reports to communicate project progress and outcomes to clients.

Ideally, you’ll also have

• Experience with data quality management.
• Familiarity with semantic layers in data architecture.
• Familiarity with cloud platforms (AWS, Azure, GCP) and their data services.
• Knowledge of data governance and compliance standards.
• Experience with machine learning frameworks and tools.