AI Solutions Engineer Role

Provide overall solution strategy, architecture, and development for BI/Analytics offerings;

all phases of BI/Analytics for client projects; Participate in prospect discovery; Drive strategic

Hire a remote Director of Engineering (Data)

Lead and manage data engineering teams

Lead data and analytics initiatives

Support company decision making with data

Develop innovative technical solutions for businesses

Accelerate innovation and drive value

Design and maintain scalable data pipelines

Ensure high data quality and governance

Provide strategic guidance and oversight for data and ML initiatives.

Advise on identity resolution and attribution modeling techniques.

Architect and run AI-powered self-service analytics platforms

Prototype analytics capabilities for external partners

Architect, build, and maintain data models, pipelines, and infrastructure

Own end-to-end analytics engineering; report to the CTO

Define and own the strategy and roadmap for the Ads Data Store

Lead architectural evolution with Engineering for scalable data foundations

Define and lead data engineering vision and roadmap

Oversee secure data sharing through data pipelines

Lead strategic planning and execution of marketing initiatives

Drive revenue growth through measurable analytics

Streamline engineering processes

Oversee global software engineering groups

Lead strategy, design, and modernization of enterprise data landscape.

Architect Data Lake and Data Warehouse across multi-cloud platforms.

Influencing strategic direction for enterprise customers

Leading engaging demonstrations and engagements

Lead the design of AI-ready data architecture.

Mentor engineers and improve data platform standards.

Design and develop data platform features.

Build distributed data pipelines in Go.

Develop a long-term data strategy.

Build a scalable data engine for marketplace.

Lead the Data Experience for a no-code AI-first platform.

Bridge customer needs with product strategy and data architecture.

Develop product strategy for data solutions.

Transform manual reporting to self-serve products.

Own territory and build pipeline.

Conduct deep discovery using MEDDPICC.

Lead end-to-end data architecture implementation.

Enhance data modeling and performance optimization.

Design and implement enterprise data architectures.

Lead data modeling and governance initiatives.

Own analytics across the product suite.

Identify trends and anomalies in product metrics.

Lead the omnichannel analytics strategy.

Measure and analyze digital marketing performance.

Manage Data Platform, Governance, and Architecture teams.

Drive development and evolution of data systems.

Design and maintain scalable data pipelines.

Write Python code using Pandas and PySpark.

Lead design of scalable data products.

Collaborate with teams for automation and integration.

Lead analytics initiatives to enhance servicing efficiency.

Create executive-level presentations of findings.

Lead data ingestion into Databricks and Tableau.

Build and maintain data pipelines for demand planning.

Support regulatory inquiries and exams.

Optimize data models and reports for performance.

Transform data into actionable fraud recommendations.

Define and measure KPIs for fraud and risk.

Own technical vision and architecture for Unified Customer Data Mart.

Design end-to-end data pipelines for CDP and reporting.

Collaborate with analysts for insights.

Drive business outcomes through analysis.

Extract performance data from multiple sources.

Ingest data for investment analysis.

Design and improve marketing measurement frameworks.

Build and deploy ML models for marketing optimization.

Build a privacy-first data platform for AI.

Lead platform optimization and legacy tooling deprecation.

Automate workflows with Python and SQL.

Support pricing strategies and deal analyses.

Own technical vision and architecture for Unified Customer Data Mart.

Design end-to-end data pipelines for CDP and reporting.

Analyze campaign data to optimize performance

Design and execute A/B tests for campaign validation

Provide administrative and operational support to the SEO team.

Manage client inquiries and platform updates.

Lead and pipeline performance reporting

Digital marketing analytics and optimization

Drive data-informed marketing decisions

Optimize campaigns through analytics

Develop result-oriented strategies Identify growth opportunities Collaborate with clients on

kflow development Stay updated on new marketing tools Advance to team

Manage and optimize creator campaigns

Oversee and improve CRM workflows

Develop and execute paid media strategies

Optimize campaigns for maximum ROAS

Expand global organic visibility

Collaborate on AI-driven, GEO-focused initiatives

Develop data models for core business operations

Utilize machine learning techniques for real-world challenges

Provide technical leadership in data science

Develop and implement advanced analytics models

Hire a remote Senior Data Scientist

Enhance product with data-driven insights

Drive cross-functional data initiatives

Collaborate with various teams to uncover insights