Data and Analytics Technical Sales Director (Financial Services)

We are the leading provider of professional services to the middle market globally, our purpose is to instill confidence in a world of change, empowering our clients and people to realize their full potential. Our exceptional people are the key to our unrivaled, inclusive culture and talent experience and our ability to be compelling to our clients. You ll find an environment that inspires and empowers you to thrive both personally and professionally. There s no one like you and that s why there s nowhere like RSM.

RSM is looking for an experienced Hands-On Technical Sales Director with expertise in big data technologies and multi-cloud platforms to lead our technical team for the financial services industry. The ideal candidate will possess a proven record of developing a strong sales pipeline for data and analytics, and a technical background in big data architecture, cloud computing, and a deep understanding of the financial services industry.

As a Technical Sales Director, you will be responsible for developing offerings, leading RFPs, and proactive engagement with clients to generate a sales pipeline for data and analytics (including AI). You will also lead technical projects, hands-on development, delivery management, sales and ensuring the successful implementation of data solutions across multiple cloud platforms. This role requires a unique blend of technical proficiency, sales acumen, and presales experience to drive business growth and deliver innovative data solutions to our clients.

Responsibilities:

• Lead the growth of Data and Analytics practice for Financial Services and Insurance
  
• Collaborate with the sales and business development teams to identify customer needs, develop solution proposals, and present technical demonstrations and presentations to prospective clients.
  
• Provide technical expertise and guidance on the selection, and hands-on implementation, and optimization of big data platforms, tools, and technologies across multiple cloud environments (e.g., AWS, Azure, Google Cloud Platform, Snowflake, etc.)
  
• Architect and build scalable and secure data pipelines, data lakes, and data warehouses to support the storage, processing, and analysis of large volumes of structured and unstructured data.
  
• Lead and mentor a team of technical professionals in the design, development, and implementation of big data solutions and data analytics projects within the financial services domain.
  
• Stay abreast of emerging trends, technologies, and industry developments in big data, cloud computing, and financial services, and assess their potential impact on the organization.
  
• Develop and maintain best practices, standards, and guidelines for data management, data governance, and data security in alignment with regulatory requirements and industry standards.
  
• Collaborate with cross-functional teams including data scientists, engineers, business analysts, and stakeholders to define project requirements, objectives, and timelines.
  

Basic Qualifications:

• Bachelor's degree or higher in Computer Science, Information Technology, Business Administration, Engineering or related field.
  
• Minimum of fifteen years of overall technical experience in solution architecture, design, hands-on development with a focus on big data technologies, multi-cloud platforms, and with at-least ten years of experience specifically in financial services.
  
• Proven sales record of building a large sales pipeline through technical solutioning for RFPs, technical offerings development, and proactive client outreach
  
• Strong understanding of the financial services industry - capital markets, retail and business banking, asset management, insurance, etc.
  
• Experience in developing partner led sales in collaboration with data platform and tool vendors
  
• In-depth knowledge of big data technologies such as Hadoop, Spark, Kafka, and cloud platforms such as AWS, Azure, Google Cloud Platform, Snowflake, Databricks, etc.
  
• Experience with SQL, Python, Pyspark or other programming languages used for data transformation, analysis, and automation.
  
• Excellent communication, presentation, and interpersonal skills, with the ability to articulate technical concepts to both technical and non-technical audiences.
  
• Hands-on experience extracting (ETL using CDC, Transaction Logs, Incremental) and processing large data sets for Streaming and Batch data loads.
  
• Proven record of managing executive relationships with senior client stakeholders and technology partners
  
• Ability to travel (~25%) as needed to client sites for sales meetings and project engagements.
  

Preferred Qualifications:

• Professional certifications in cloud computing (e.g., AWS Certified Solutions Architect, Microsoft Certified Azure Solutions Architect, Azure Data Engineer, SnowPro Core) and/or big data technologies.
  
• Thought leader with published articles, blogs, industry presentations
  
• Proven track record on building a consulting practice
  
• Experience working at a top tier consulting firm, and developing sales pipeline for or a large F500 or equivalent clients
  
• Ability to work from our Manhattan, NY office at least twice a week
  

Education/Experience:

• Bachelor s degree in MIS, CS, Engineering or equivalent field.
  
• Master s degree is CS or MBA is preferred.
  
• Advanced Data and Cloud Certifications are a plus.
  

At RSM, we offer a competitive benefits and compensation package for all our people. We offer flexibility in your schedule, empowering you to balance life s demands, while also maintaining your ability to serve clients. Learn more about our total rewards at .

As an Affirmative Action and Equal Opportunity Employer all applicants will receive consideration for employment as RSM does not tolerate discrimination and/or harassment based on race; color; creed; sincerely held religious beliefs, practices or observances; sex (including pregnancy or disabilities related to nursing); gender (including gender identity and/or gender expression); sexual orientation; HIV Status; national origin; ancestry; familial or marital status; age; physical or mental disability; citizenship; political affiliation; medical condition (including family and medical leave); domestic violence victim status; past, current or prospective service in the US uniformed service; US Military/Veteran status ; pre-disposing genetic characteristics or any other characteristic protected under applicable federal, state or local law.

Accommodation for applicants with disabilities is available upon request in connection with the recruitment process and/or employment/partnership. RSM is committed to providing equal opportunity and reasonable accommodation for people with disabilities. If you require a reasonable accommodation to complete an application, interview, or otherwise participate in the recruiting process, please call us at or send us an email at .

RSM does not intend to hire entry level candidates who will require sponsorship now OR in the future (i.e. F-1 visa holders). If you are a recent U.S. college / university graduate possessing 1-2 years of progressive and relevant work experience in a same or similar role to the one for which you are applying, excluding internships, you may be eligible for hire as an experienced associate.

RSM will consider for employment qualified applicants with arrest or conviction records in accordance with the requirements of applicable law, including but not limited to, the California Fair Chance Act, the Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the San Francisco Fair Chance Ordinance. For additional information regarding RSM s background check process, including information about job duties that necessitate the use of one or more types of background checks, click here .

At RSM, an employee s pay at any point in their career is intended to reflect their experiences, performance, and skills for their current role. The salary range (or starting rate for interns and associates) for this role represents numerous factors considered in the hiring decisions including, but not limited to, education, skills, work experience, certifications, location, etc. As such, pay for the successful candidate(s) could fall anywhere within the stated range.

Compensation Range: $137,200 - $276,100

Individuals selected for this role will be eligible for a discretionary bonus based on firm and individual performance.