Lead Platform Data Engineer
Carmel, IN · On-site
... data models and Data Contracts (OpenAPI/AsyncAPI) to standardize identity layers and ensure ... quantitative field. • 7+ Years in Data Engineering with at least 2+ years in a Lead or Staff ...
Lead Platform Data Engineer
Carmel, IN · On-site
... data models and Data Contracts (OpenAPI/AsyncAPI) to standardize identity layers and ensure ... quantitative field. • 7+ Years in Data Engineering with at least 2+ years in a Lead or Staff ...
Lead Platform Data Engineer
Carmel, IN · On-site
Unified Modeling: Architect cross-application data models and Data Contracts (OpenAPI/AsyncAPI) to ... Experience working directly with Product and Executive teams to translate business questions into ...
Lead Platform Data Engineer
Carmel, IN · On-site
Unified Modeling: Architect cross-application data models and Data Contracts (OpenAPI/AsyncAPI) to ... Experience working directly with Product and Executive teams to translate business questions into ...
Lead Platform Data Engineer
Carmel, IN · On-site
Unified Modeling: Architect cross-application data models and Data Contracts (OpenAPI/AsyncAPI) to ... Experience working directly with Product and Executive teams to translate business questions into ...
Lead Platform Data Engineer
Carmel, IN · On-site
Unified Modeling: Architect cross-application data models and Data Contracts (OpenAPI/AsyncAPI) to ... Experience working directly with Product and Executive teams to translate business questions into ...
Lead Platform Data Engineer
Carmel, IN · On-site
Unified Modeling: Architect cross-application data models and Data Contracts (OpenAPI/AsyncAPI) to ... Experience working directly with Product and Executive teams to translate business questions into ...
Lead Platform Data Engineer
Carmel, IN · On-site
Unified Modeling: Architect cross-application data models and Data Contracts (OpenAPI/AsyncAPI) to ... Experience working directly with Product and Executive teams to translate business questions into ...
Responsible for presenting data-driven initiatives/projects and results to executive management and ... Analyzes external and internal client data using database queries (SQL), spreadsheet (Excel) models ...
Responsible for presenting data-driven initiatives/projects and results to executive management and ... Analyzes external and internal client data using database queries (SQL), spreadsheet (Excel) models ...
Director of Marketing Analytics and Data Science (Digital Marketing Leader)
Bloomington, IN · On-site
Reports to the Executive Director of Web and Digital Strategy, the Director of Audience Experience ... quantitative and analytical techniques (e.g., regression analysis, statistical modeling, A/B ...
Director of Marketing Analytics and Data Science (Digital Marketing Leader)
Bloomington, IN · On-site
Reports to the Executive Director of Web and Digital Strategy, the Director of Audience Experience ... quantitative and analytical techniques (e.g., regression analysis, statistical modeling, A/B ...
Director of Marketing Analytics and Data Science (Digital Marketing Leader)
Bloomington, IN · On-site
$90 - $110/hr
Reports to the Executive Director of Web and Digital Strategy. The Director of Audience Experience ... quantitative and analytical techniques (e.g., regression analysis, statistical modeling, A/B ...
Director of Marketing Analytics and Data Science (Digital Marketing Leader)
Bloomington, IN · On-site
$90 - $110/hr
Reports to the Executive Director of Web and Digital Strategy. The Director of Audience Experience ... quantitative and analytical techniques (e.g., regression analysis, statistical modeling, A/B ...
Vice President-Ambulatory Development and Market Enablement
Indianapolis, IN · On-site
$200 - $350/hr
Develops growth and activation business plans for executive leadership and key stakeholders ... Requires strong financial acumen and ability to perform complex quantitative and qualitative ...
Vice President-Ambulatory Development and Market Enablement
Indianapolis, IN · On-site
$200 - $350/hr
Develops growth and activation business plans for executive leadership and key stakeholders ... Requires strong financial acumen and ability to perform complex quantitative and qualitative ...
Develops growth and activation business plans for executive leadership and key stakeholders ... Requires strong financial acumen and ability to perform complex quantitative and qualitative ...
Develops growth and activation business plans for executive leadership and key stakeholders ... Requires strong financial acumen and ability to perform complex quantitative and qualitative ...
Create clear and concise executive-level presentation material and talking points to articulate ... Prepare quantitative analysis and craft proposals and presentations tailored for diverse audiences ...
Create clear and concise executive-level presentation material and talking points to articulate ... Prepare quantitative analysis and craft proposals and presentations tailored for diverse audiences ...
... model. Govern AI Responsibly * Establish trusted, compliant, and scalable AI governance frameworks ... Influence executive stakeholders and technology leaders across the enterprise. * Represent GSK ...
... model. Govern AI Responsibly * Establish trusted, compliant, and scalable AI governance frameworks ... Influence executive stakeholders and technology leaders across the enterprise. * Represent GSK ...
Create clear and concise executive-level presentation material and talking points to articulate ... Prepare quantitative analysis and craft proposals and presentations tailored for diverse audiences ...
Create clear and concise executive-level presentation material and talking points to articulate ... Prepare quantitative analysis and craft proposals and presentations tailored for diverse audiences ...
An engineering background is an asset - less for the syntax and more for the mental model it builds ... stakes, senior executives at the firm * Use vibe coding, AI-assisted development, and rapid ...
An engineering background is an asset - less for the syntax and more for the mental model it builds ... stakes, senior executives at the firm * Use vibe coding, AI-assisted development, and rapid ...
Data Engineer
Carmel, IN · On-site
$110K - $120K/yr
Working with stakeholders including data, design, product and executive teams and assisting them ... Prepare data for prescriptive and predictive modeling. * Use effective communication to work with ...
Data Engineer
Carmel, IN · On-site
$110K - $120K/yr
Working with stakeholders including data, design, product and executive teams and assisting them ... Prepare data for prescriptive and predictive modeling. * Use effective communication to work with ...
Head of Lead ID
Indianapolis, IN · On-site
$148.50 - $257.40/hr
We are seeking an Executive Director for our RNA Team. The successful candidate for this newly ... They will be responsible for leading teams that are establishing quantitative, high‑throughput ...
Head of Lead ID
Indianapolis, IN · On-site
$148.50 - $257.40/hr
We are seeking an Executive Director for our RNA Team. The successful candidate for this newly ... They will be responsible for leading teams that are establishing quantitative, high‑throughput ...
Marketing Data Analyst, South Bend, IN (On-Site)
South Bend, IN · On-site
$84K - $105K/yr
Responsible for presenting data-driven initiatives/projects and results to executive management and ... Analyzes external and internal client data using database queries (SQL), spreadsheet (Excel) models ...
Marketing Data Analyst, South Bend, IN (On-Site)
South Bend, IN · On-site
$84K - $105K/yr
Responsible for presenting data-driven initiatives/projects and results to executive management and ... Analyzes external and internal client data using database queries (SQL), spreadsheet (Excel) models ...
Underwriter - CRE
Indianapolis, IN · On-site
... executive management. Help drive strong portfolio performance by applying sound credit review ... Strong quantitative analysis skills, including the ability to work with multiple variables, analyze ...
Quick apply
Underwriter - CRE
Indianapolis, IN · On-site
... executive management. Help drive strong portfolio performance by applying sound credit review ... Strong quantitative analysis skills, including the ability to work with multiple variables, analyze ...
The Vice President, Operations partners with executive, regional, and facility leaders to advance ... models and service line development. Serving as a key link between system strategy and local ...
The Vice President, Operations partners with executive, regional, and facility leaders to advance ... models and service line development. Serving as a key link between system strategy and local ...
... with executive, regional, and facility leaders to advance strategic and operational priorities ... models and service line development. Serving as a key link between system strategy and local ...
... with executive, regional, and facility leaders to advance strategic and operational priorities ... models and service line development. Serving as a key link between system strategy and local ...
The Vice President, Operations partners with executive, regional, and facility leaders to advance ... models and service line development. Serving as a key link between system strategy and local ...
The Vice President, Operations partners with executive, regional, and facility leaders to advance ... models and service line development. Serving as a key link between system strategy and local ...
Executive Quantitative Modeling information
What is executive quantitative modeling?
Executive quantitative modeling is a high-level role that involves developing, overseeing, and interpreting complex mathematical and statistical models to inform business strategies and decision-making. Professionals in this position typically lead teams that create models for risk assessment, financial forecasting, portfolio management, or pricing strategies. They work closely with senior executives to translate quantitative insights into actionable business plans. This role requires deep expertise in mathematical modeling, data analysis, and proficiency with advanced analytics tools and programming languages.
What are the key skills and qualifications needed to thrive as an executive in quantitative modeling?
To excel as an Executive in Quantitative Modeling, you need advanced expertise in mathematical modeling, statistical analysis, and financial theory, typically supported by a graduate degree in a quantitative discipline such as mathematics, statistics, finance, or engineering. Proficiency with programming languages (like Python, R, or MATLAB), data analytics platforms, and experience with industry-standard risk management or financial modeling systems is highly valued. Leadership, strategic thinking, and strong communication skills set outstanding executives apart by enabling them to guide teams and translate complex models into actionable business insights. These capabilities are crucial for driving data-driven decision-making and maintaining a competitive edge in complex financial environments.
What are some common challenges faced by professionals in executive quantitative modeling roles and how are they typically addressed?
Professionals in Executive Quantitative Modeling roles often face the challenge of translating complex quantitative models into actionable insights for stakeholders who may not have technical backgrounds. Balancing model sophistication with interpretability is key, as is ensuring data quality and regulatory compliance. Collaboration with cross-functional teams, such as IT, risk, and business units, is essential to integrate models into business processes and to gain buy-in from decision-makers. Regular communication, thorough documentation, and ongoing validation of model performance help address these challenges effectively.
What is the difference between Executive Quantitative Modeling vs Quantitative Analyst?
| Aspect | Executive Quantitative Modeling | Quantitative Analyst |
|---|---|---|
| Credentials | Advanced degrees (MBA, PhD), certifications like CFA or FRM | Bachelor's or Master's in Finance, Mathematics, or related fields |
| Work Environment | Strategic decision-making, senior management meetings | Data analysis, model development, reporting |
| Industry Usage | Financial institutions, hedge funds, asset management | Investment banks, asset managers, financial firms |
Executive Quantitative Modeling professionals focus on high-level strategic models and decision-making, often working with senior leadership. Quantitative Analysts typically handle data analysis, model building, and implementation at a more technical level. Both roles require strong quantitative skills, but differ in scope and responsibilities.
What are the most commonly searched types of Quantitative Modeling jobs in Indiana?
The most popular types of Quantitative Modeling jobs in Indiana are:
What are popular job titles related to Executive Quantitative Modeling jobs in Indiana?
For Executive Quantitative Modeling jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Executive Quantitative Modeling jobs in Indiana look for?
The top searched job categories for Executive Quantitative Modeling jobs in Indiana are:
What cities in Indiana are hiring for Executive Quantitative Modeling jobs?
Cities in Indiana with the most Executive Quantitative Modeling job openings:
Allegion rating
8.3
Based on 47 frontline employees who took The Breakroom Quiz
67th of 543 rated manufacturers
Job description
Job Summary:
Allegion is a global leader in security solutions, dedicated to creating safe environments for people to live, work, and visit. As a Lead Platform Data Engineer, you will oversee the data architecture connecting product applications throughout the customer lifecycle, bridging platform engineering and data engineering while mentoring engineers and driving data standards adoption across teams.
Responsibilities:
• Establish and document the organization’s first comprehensive data topology and inventory, transforming undocumented legacy flows into a structured, scalable platform blueprint.
• Architect cross-application data models and Data Contracts (OpenAPI/AsyncAPI) to standardize identity layers and ensure consistency across the product lifecycle.
• Design high-performance data flows and transformation layers that surface usage analytics and recurring revenue signals to drive AI-powered insight generation.
• Lead the integration of platform service layers with mobile/web applications to streamline device commissioning and cross-functional data access.
• Replace ad-hoc processes with robust workflow orchestration (e.g., Airflow, dbt) and CI/CD pipelines to ensure 99.9% data reliability and 'Data-as-Code' standards.
• Drive the technical proposal process, conducting cost-benefit analyses for new systems to balance immediate delivery with long-term platform health.
• Implement automated data quality monitoring, lineage tracking, and observability practices to ensure high-fidelity data for downstream analytics and compliance.
• Engineer data lifecycle policies that strictly adhere to global privacy regulations (GDPR/CCPA) and enterprise security standards.
• Establish and enforce rigorous coding standards and peer review processes, mentoring the team to transition from 'plumbing' to modern DataOps practices.
Qualifications:
Required:
• Qualified candidates must be legally authorized to be employed in the United States. The company does not intend to provide sponsorship for employment visa status (e.g., H-1B, TN, etc.) for this employment position.
• Bachelor’s Degree in Computer Science, Data Science, Software Engineering, or a related quantitative field.
• 7+ Years in Data Engineering with at least 2+ years in a Lead or Staff capacity, specifically owning the technical roadmap.
• Proficiency in designing relational, NoSQL, and Lakehouse architectures (e.g., Snowflake, Databricks, or BigQuery). Mastery of SQL is non-negotiable.
• Advanced Python and/or Go/Java for building scalable data applications and custom integrations.
• Expert-level experience with dbt and related tools to build repeatable, documented workflows.
• Hands-on experience with Infrastructure as Code (Terraform/CloudFormation) and core cloud services (AWS/Azure/GCP).
• Experience implementing Data Contracts, schema registries, and observability tools.
• Experience working directly with Product and Executive teams to translate business questions into technical data requirements.
• A proven track record of entering environments with high technical debt/minimal documentation and successfully implementing a formal data strategy and topology.
• Previous experience building feature stores or pipelines specifically designed to feed AI/ML models or LLMs.
Preferred:
• Master’s Degree in a technical field.
• Experience in a Lead or Staff capacity owning the technical roadmap (implied preferred beyond minimum 2+ years).
Company:
Allegion provides mechanical and electronic security products for residential, commercial, and institutional environments. Founded in 2013, the company is headquartered in Dublin, IRL, with a team of 10001+ employees. The company is currently Late Stage.
Allegion is a global leader in security solutions, dedicated to creating safe environments for people to live, work, and visit. As a Lead Platform Data Engineer, you will oversee the data architecture connecting product applications throughout the customer lifecycle, bridging platform engineering and data engineering while mentoring engineers and driving data standards adoption across teams.
Responsibilities:
• Establish and document the organization’s first comprehensive data topology and inventory, transforming undocumented legacy flows into a structured, scalable platform blueprint.
• Architect cross-application data models and Data Contracts (OpenAPI/AsyncAPI) to standardize identity layers and ensure consistency across the product lifecycle.
• Design high-performance data flows and transformation layers that surface usage analytics and recurring revenue signals to drive AI-powered insight generation.
• Lead the integration of platform service layers with mobile/web applications to streamline device commissioning and cross-functional data access.
• Replace ad-hoc processes with robust workflow orchestration (e.g., Airflow, dbt) and CI/CD pipelines to ensure 99.9% data reliability and 'Data-as-Code' standards.
• Drive the technical proposal process, conducting cost-benefit analyses for new systems to balance immediate delivery with long-term platform health.
• Implement automated data quality monitoring, lineage tracking, and observability practices to ensure high-fidelity data for downstream analytics and compliance.
• Engineer data lifecycle policies that strictly adhere to global privacy regulations (GDPR/CCPA) and enterprise security standards.
• Establish and enforce rigorous coding standards and peer review processes, mentoring the team to transition from 'plumbing' to modern DataOps practices.
Qualifications:
Required:
• Qualified candidates must be legally authorized to be employed in the United States. The company does not intend to provide sponsorship for employment visa status (e.g., H-1B, TN, etc.) for this employment position.
• Bachelor’s Degree in Computer Science, Data Science, Software Engineering, or a related quantitative field.
• 7+ Years in Data Engineering with at least 2+ years in a Lead or Staff capacity, specifically owning the technical roadmap.
• Proficiency in designing relational, NoSQL, and Lakehouse architectures (e.g., Snowflake, Databricks, or BigQuery). Mastery of SQL is non-negotiable.
• Advanced Python and/or Go/Java for building scalable data applications and custom integrations.
• Expert-level experience with dbt and related tools to build repeatable, documented workflows.
• Hands-on experience with Infrastructure as Code (Terraform/CloudFormation) and core cloud services (AWS/Azure/GCP).
• Experience implementing Data Contracts, schema registries, and observability tools.
• Experience working directly with Product and Executive teams to translate business questions into technical data requirements.
• A proven track record of entering environments with high technical debt/minimal documentation and successfully implementing a formal data strategy and topology.
• Previous experience building feature stores or pipelines specifically designed to feed AI/ML models or LLMs.
Preferred:
• Master’s Degree in a technical field.
• Experience in a Lead or Staff capacity owning the technical roadmap (implied preferred beyond minimum 2+ years).
Company:
Allegion provides mechanical and electronic security products for residential, commercial, and institutional environments. Founded in 2013, the company is headquartered in Dublin, IRL, with a team of 10001+ employees. The company is currently Late Stage.
About Allegion
Sourced by ZipRecruiter
Industry
Manufacturing
Company size
1,001 - 5,000 Employees
Headquarters location
Carmel, IN, US