Technology Manager jobs in United States, Florida, Miami

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.

Your key responsibilities

• Grow and maintain relationships with clients, both existing and new clients
• High level management of the successful delivery of technically complex advisory, compliance and reporting engagements
• Providing exceptional client service with responsibility for quality provided
• Working collaboratively with other tax specialist teams
• Grow networks and relationships internally and externally
• Help people to develop through effectively supervising, coaching and mentoring staff
• Lead team initiatives, covering all aspects of leading a successful team

Skills and attributes for success

• Significant experience in Corporate Tax from practice or from an in-house tax background
• Strong client relationship management skills
• Negotiation skills, able to sustain opinion and exhibit strong stakeholder management
• Business development skills, able to identify and convert opportunities to sell work
• Effective time management, ability to remain calm when under pressure to meet deadlines
• Excellent communicator in a range of situations both written and oral
• Enthusiastic team player with ability to create and sustain effective teams
• Experience of coaching and developing more junior staff
• Ensure delivery of quality work

To qualify for the role you must have

• Experienced corporate tax practitioner
• ACA/CA/ACCA/CTA; or Tax Inspectors with full Technical Training Course; or Law qualification / Tax specialist qualification / or breadth of knowledge equivalent to a Tax specialist qualification
• Experience in tax accounting/tax audit
• Proven ability to read and interpret existing and new tax statute

Ideally, you'll also have

• Project management skills, plan and prioritise work, meet deadlines, monitor own budget

What we look for

• Team player; ability to integrate with new teams quickly
• Outgoing with good relationship skills and the ability to deliver quality output
• Excellent communicator in range of situations both written and oral
• Change orientated with flexible approach

We offer a competitive remuneration package where you’ll be rewarded for your individual and team performance. Our comprehensive Total Rewards package includes support for flexible working and career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well-being, insurance, savings and a wide range of discounts, offers and promotions. Plus, we offer:

• Support, coaching and feedback from some of the most engaging colleagues around
• Opportunities to develop new skills and progress your career
• The freedom and flexibility to handle your role in a way that’s right for you

Risk Consulting, Digital Risk (Manager) (Multiple Positions) (1637984), Ernst & Young U.S. LLP, Miami, FL.

Full time employment, Monday – Friday, 40 hours per week, 8:30 am – 5:30 pm.

MINIMUM REQUIREMENTS:

Must have a Bachelor’s degree in Business, Accounting, Finance, Computer Science, Information Systems, Engineering, Law or a related field and 5 years of progressive, post-baccalaureate related work experience. Alternatively, will accept a Master’s degree in Business, Accounting, Finance, Computer Science, Information Systems, Engineering, Law or a related field and 4 years of related work experience.Must have 4 years of work experience as an IT auditor or IT risk consultant for a public accounting firm, a professional services firm, or within industry.Must have 4 years of experience applying relevant technical knowledge of a combination of the following:
· IT - Internal controls and/or SOX-related controls;
· IT-related internal audits, including service organization controls reporting engagements;
· IT risk transformation services such as IT risk management, GRC, data analytics, policy and standard management, issues management, or IT regulation and compliance and/or;
· Risks and Control of ERP implementation and/or ERP security and controls reviews (Oracle, SAP, PeopleSoft).Must have 2 years of experience leading workshops and client-facing presentations.Must have 1 year of experience in project management for large scale process, risk, controls, audit, or technology projects and programs, preparing and delivering reports, and managing program budget and timelines effectively.Must be eligible to obtain AIGP, AWSCSA, CA, CCSP, CIA, CIPP, CIPT, CISA, CISM, CISSP, CGEIT, CPA, CRISC, CTC+, GCC, MCA, OCICAP, and/or relevant certification within one year of hire.Employer will accept any suitable combination of education, training or experience.

What we offer

We offer a comprehensive compensation and benefits package where you’ll be rewarded based on yourperformance and recognized for the value you bring to the business. The base salary for this job is $136,840.00 per year. 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.

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

This particular position at Ernst & Young in the United States requires the qualified candidate to be a "United States worker" as defined by the U.S. Department of Labor regulations at 20 CFR 656.3. You can review this definition at at the bottom of page 750. Please feel free to apply to other positions that do not require you to be a "U.S. worker".

Consulting - Technology Consulting - AI and Quantitative Modelling - Artificial Intelligence Data Scientist (Manager) (Multiple Positions) (1641769), Ernst & Young U.S. LLP, Miami, FL.

Work with a wide variety of clients to deliver the latest data science, big data technologies, and operations research techniques and practices to design, build and maintain scalable and robust solutions that unify, enrich and analyze data from multiple sources. Create well-rounded approaches to help clients navigate the complex world of modern data science, analytics, and software engineering. Provide clients with a unique business perspective on how data science and analytics can transform and improve their entire organization. Clarify problems by driving to understand the true issue. Leverage Machine Learning (ML) workflows including ingesting, analyzing, and transforming data and evaluating results to make meaningful predictions and solve problems by incorporating data into decision making. Apply data mining and statistical analysis techniques like hypothesis testing, segmentation and modelling to analyze large amounts of data. Use generative AI modelling and frameworks and large language models (LLMs) to help clients make data-driven decisions by working with structured and unstructured data sets, building out predictive models and advising our clients on data mining leading practices. Build and apply data analysis algorithms including data mining, statistics, machine learning, natural language processing, sentiment analysis, and text mining. Design, architect and develop solutions leveraging data technologies to ingest, process and analyze large, disparate data sets to exceed business requirements. Design, build, and maintain ML models, frameworks, and pipelines as well as design and deploy end to end ML workflows in order to unify, enrich and analyze customer data to derive new insights and opportunities.

Full time employment, Monday – Friday, 40 hours per week, 8:30 am – 5:30 pm.

MINIMUM REQUIREMENTS:

Bachelor's degree in Mathematics, Information Systems, Statistics, Operations Research, Data Science, Analytics, Computer Science, Engineering, Machine Learning, or a related field and 5 years of progressive, post-baccalaureate related work experience. Alternatively, must have a Master's degree in Mathematics, Information Systems, Statistics, Operations Research, Data Science, Analytics, Computer Science, Engineering, Machine Learning, or a related field and 4 years of related work experience.

Must have 3 years of experience in any combination of external advisory professional services, external consulting, or customer success.

Must have 4 years hands-on working experience with artificial intelligence, machine learning, data science, or data engineering.

Must have 4 years of experience working with Python.

Must have 2 years of combined experience using any combination of at least 2 of the following Generative AI models and frameworks:

• OpenAI family

• Open source LLMs, Dall-e

• LlamaIndex

• Langchain

• Retrieval Augmented Generation (RAG)

• Other frontier model families (e.g. Anthropic)

Must have 1 year of combined experience using DevOps tools GIT and Azure DevOps as well as Agile tools to develop and deploy analytical solutions with multiple features, pipelines, and releases.

Must have 2 years of experience designing, building, and maintaining ML models, frameworks, and pipelines as well as designing and deploying end to end ML workflows on at least one major cloud computing platform.

Must have 4 years of experience with data manipulation tools and libraries SQL, Pandas, or Spark.

Must have 2 years of experience with containerization and scaling models as well as integrating models and feedback from downstream consumption systems.

Must have 2 years of experience directly managing technical teams.

Employer will accept any suitable combination of education, training, or experience.

What we offer

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 for this job is $182,690.00 per year. 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.

•Continuous learning:You’ll develop the mindset and skills to navigate whatever comes next.

•Success as defined by you:We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.

•
Transformative leadership:We’ll give you the insights, coaching and confidence to be the leader the world needs.

•You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

This particular position at Ernst & Young in the United States requires the qualified candidate to be a "United States worker" as defined by the U.S. Department of Labor regulations at 20 CFR 656.3. You can review this definition at at the bottom of page 750. Please feel free to apply to other positions that do not require you to be a "U.S. worker".