Your Impact- Modernize legacy applications and architectures to improve performance, maintainability, and scalability.
- Design and build digital applications that solve real business needs and deliver better user experiences.
- Turn business ideas into scalable digital products with the engineering expertise to take them from concept through delivery.
- Design, migrate, and optimize cloud environments to improve agility, scalability, and operational performance.
- Connect applications, data, and systems to create more seamless digital experiences and workflows.
- Automate development and delivery processes to improve reliability, speed, and the ability to scale.
- Design and build modern data warehouses and analytics-ready data models
- Develop scalable, reliable data pipelines using cloud-based data platforms
- Implement analytics, reporting, and visualization solutions that translate complex data into clear, actionable insights for client stakeholders
- Partner with client teams to understand business objectives, data challenges, and success metrics through interviews and working sessions
- Manage discrete project workstreams, balancing technical execution with client communication and delivery timelines
- Present findings, recommendations, and solution designs to both technical and non-technical audiences
- Leverage AI-assisted development environments to design, generate, test, and iterate on production-quality analytics and data engineering code
- Support broader data transformation initiatives, including system implementations, migrations, and modernization efforts
- Actively participate in internal knowledge sharing, mentoring, and career development activities
- Perform in a leadership and Solution Architect role, helping with shaping the strategic direction of our growing AI/ML, automation, and Data Analytics functions.
- Deliver on projects in the areas of data management, data governance, dashboard monitoring, DQ dashboards, data controls, data lineage, and data mapping.
- Support data transformation initiatives across a range of service lines, including:
- M&A Lifecycle (integrations, divestitures, and carveouts)
- Finance Transformation
- Enterprise Data Strategy / Governance Standup
- Process Improvement and Automation
- System Implementations / Migrations
- Data and Automation Strategy and Road mapping (including how companies can leverage AI, ML, and other advanced data modeling concepts)
- Identify insights through use of statistical, algorithmic, mining and visualization techniques.
- Conduct interviews with client stakeholders to identify process and data challenges.
- Document and present findings to both technical and non-technical audiences.
- Develop analytical proof-of-concept prototypes and/ or deliver large-scale analytical platform implementations to fulfill clients' tactical and strategic requirements.
- Develop business procedures and data management policies for ensuring data accuracy and control.
- Create model documentation, develop implementation roadmaps, and perform knowledge transfers.
At a minimum, you will have:- 5+ years of data and product development experience
- Experience architecting and developing AI/ML solutions.
- Ability to lead workshops, including the gathering/documenting of requirements and use-cases and recommendation of envisioned processes.
- Experience presenting to C-suite.
- Industry experience within Financial Services/FinTech/Banking and/or Technology/SaaS.
- Understanding of typical software development lifecycles (Waterfall and Agile) and their associated lifecycle artifacts.
- Experience with identifying and correcting problems in imperfect data and processes.
- Bachelor's degree in Engineering, Mathematics, Statistics, Computer Science, Information Systems, or other related field or equivalent number of years of experience
- Flexibility to accommodate travel up to 25%.
Preferably, you will have:- Experience programming in Python, SQL, and/or R.
- Experience using GitHub (e.g., source code management).
- Experience with any of the following commercial analytics, automation, and AI/ML tools: Alteryx, Power BI, Tableau, Power Automate, UiPath, Automation Anywhere, AI/ML/GenAI platforms, Informatica, Oracle EDMC, etc.
- Proven ability to lead, motivate and build teams that deliver
- Strong business skills and experience in accounting, corporate finance, and FP&A.
- Familiarity with the M&A transaction lifecycle.
- Master's degree in Business or related field.
- Experience managing technical development by acting as a liaison between the technical team and the user community.
Determining compensation for this role (and others) at Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law, Highspring believes that the following salary range reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure to be between the range below.
The individual may also be eligible for a variety of bonus and financial incentives based on individual and company performance.Base Compensation Range
$123,988-$191,200 USD
