AVP, Machine Learning Engineering

Job ID R-028462 Date posted 02/28/2023

Are you a team player? Are you curious to learn? Are you interested in working in meaningful projects? Do you want to work with cutting-edge technology? Are you interested in being part of a team that is working to transform and do things differently? If so, LPL Financial is the place for you!

LPL Financial (Nasdaq: LPLA) was founded on the principle that the firm should work for the advisor, and not the other way around. Today, LPL is a leader in the markets we serve, supporting more than 19,000 financial advisors, 800 institution-based investment programs and 450 independent RIA firms nationwide. We are steadfast in our commitment to the advisor-centered model and the belief that Americans deserve access to objective guidance from a financial advisor. At LPL, independence means that advisors have the freedom they deserve to choose the business model, services, and technology resources that allow them to run their perfect practice. And they have the freedom to manage their client relationships, because they know their clients best. Simply put, we take care of our advisors, so they can take care of their clients.

Job Overview:

As a AVP of Machine Learning Engineering, you will be responsible for architecting and designing ML solution development and deployment across verticals and manage data sciences and advanced analytics initiatives. Design and build data and ML pipelines, data integration/engineering, interacts with data scientists, business owners of verticals, business data analysts, data modelers, architects, and application developers, to design, build and manage large-scale batch and real-time data pipelines utilizing various data analytics processing frameworks in support of Data Science practice.

Responsibilities:

• You will bel Subject Matter Expert (SME) and work closely with all verticals (Enterprise Analytics, Marketing, etc.) to enable large-scale use cases, design ML pipelines.

• Data Science and Data Engineering for Structured and unstructured data, Relational and distributed data models

• Proven ability to design, articulate, and deliver complex, large-scale AI/ML solutions that are scalable, robust, secure, and resilient

• Experience in designing solutions that optimize AI performance through advanced HW and software techniques

• Familiarity with leading commercial and Open Source AI / ML / Data Science platforms.

• Maintains a broad understanding of implementation, integration, and inter-connectivity issues with emerging technologies to define data strategies

• Assist in the decision-making process related to the selection of software architecture solutions

• Implement architectures to handle web-scale data and its organization

• Execute strategies that inform data design and architecture partnering with enterprise standard

• Build robust data pipelines on public Cloud using Airflow, AWS EMR, Glue, Kinesis, Kafka, Lambda or other technologies

• Deep expertise in SQL language, Python, Hadoop ecosystem and/or Spark ecosystem. Strong experience with writing complex programs, implementing architectures, and enabling automation in these environments

• Lead requirement analysis and design discussions with users, technical and business stakeholders and monitor all agile ceremonies with teams

• Very strong understanding of large databases/data warehouses and data architecture

• The ability to partner, influence and shape technology modernization decisions and outcomes throughout the enterprise.

• Understanding of SecDevOps practices and tooling, with an emphasis on implementing continuous deliver within a highly regulated environment.

• QA processes in a Scaled Agile framework (SAFe) methodology.

• Strong verbal and written communication skills with executive presence.

• Communicates status of technology product and backlog readiness to outside team members

• Creates best practices for team members to follow to meet key objectives of the technology platform.

What are we looking for?

We want strong collaborators who can deliver a world-class client experience. We are looking for people who thrive in a fast-paced environment, are client-focused, team oriented, and are able to execute in a way that encourages creativity and continuous improvement.

Requirements:

• Bachelor's Degree in Computer Science, Engineering, or related field

• 5+ years in a technical management capacity in an enterprise with a high performing technical team (both on and offshore)

• 5+ years of experience in data modeling, data warehousing, and big data architectures using Hadoop /EMR, spark, Redshift, Snowflake, No- SQL Cassandra  or similar large scale distributed systems

• 5+ years of experience in a data engineering role to build Highly scalable large data pipelines with the creation and automation of  Machine learning pipelines, model training, testing, and deployment using Airflow, EMR, Glue, etc.

• DevOps experience with Cloud Formation, Data, and ML pipeline experience & experience using GitHub, Bit Bucket, or other code repository solution

• Programming proficiency in cloud data ecosystem using Python, R or Scala (min 5 years Scala)

Preferences:

• Cloud Architecture certification preferred

• Financial services experience

• Experience with data platforms on premises and the cloud

• Scaled Agile (SAFe) certification (PO/PM) preferred

Pay Range:

$137,280-$205,920/year

Actual base salary varies based on factors, including but not limited to, relevant skill, prior experience, education, base salary of internal peers, demonstrated performance, and geographic location. Additionally, LPL Total Rewards package is highly competitive, designed to support your success at work, at home, and at play – such as 401K matching, health benefits, employee stock options, paid time off, volunteer time off, and more. Your recruiter will be happy to discuss all that LPL has to offer!

Why LPL? 

At LPL, we believe that objective financial guidance is a fundamental need for everyone. As the nation’s leading independent broker-dealer, we offer an integrated platform of proprietary technology, brokerage, and investment advisor services. We provide you with a work environment that encourages your creativity and growth, a leadership team that is supportive and responsive, and the opportunity to create a career that has no limits, only amazing potential.

We are one team on one mission. We take care of our advisors, so they can take care of their clients.

Because our company is not too big and not too small, you can seize the opportunity to make a real impact. We are committed to supporting workplace equality, and we embrace the different perspectives and backgrounds of our employees.We also care for our communities, and we encourage our employees to do the same. This creates an environment in which you can do your best work.

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Join the LPL team and help us make a difference by turning life’s aspirations into financial realities. Please log in or create an account to apply to this position. Principals only. EOE.

Information on Interviews:

LPL will only communicate with a job applicant directly from an @lplfinancial.com email address and will never conduct an interview online or in a chatroom forum.  During an interview, LPL will not request any form of payment from the applicant, or information regarding an applicant’s bank or credit card.  Should you have any questions regarding the application process, please contact LPL’s Human Resources Solutions Center at (800) 877-7210.