Concord

Strategy

• Experimentation Strategy: Plan and run experimentation programs (A/B and multivariate tests) to validate hypotheses and optimize content, offers, and targeting. Derive actionable insights from experiment results to drive continuous improvement.
• Customer Experience Design & Analysis: Map and analyze customer experiences to identify opportunities for optimization or personalization at each touchpoint. Use data and customer feedback to continuously improve user experience and engagement.
• Personalization Strategy: Lead the development and execution of end-to-end personalization strategies across email, mobile, web, and other channels. Leverage customer data to deliver the right message to the right audience at the right time.
• Cross-Functional Collaboration: Work closely with marketing, analytics, and technology teams (both at Concord and the client) to implement and measure the impact of customer experiences. Identify and refine the "art of the possible" by aligning tool capabilities, data, customer needs, and business goals.
• Product Ownership & Delivery: Bring a product management mindset to experimentation and personalization initiatives. Take end-to-end ownership of projects – from concept and requirements through delivery – and ensure they meet defined success metrics. Monitor performance of experiments and report on KPIs, using data to inform ongoing strategy adjustments.

Personalization Strategy Lead

Data Scientist

Concord isn't your typical consulting firm; we're an execution focused company passionate about delivering results.
We are looking for a data-savvy, insights-driven Data Science Engineer to join our growing Data & Analytics practice.
Client-facing consultant role working closely with Marketing, Analytics, project leads, analytics, engineers, and data scientists.
Generate insights, build predictive models, and influence strategy across marketing channels, customer segments, and lifecycle stages.
Support clients through descriptive, prescriptive, and predictive stages; knowledge of digital measurement, digital marketing, personalization, CDPs, user experience, analytics.
Design, develop, and maintain scalable data pipelines and architectures.
Partner with data scientists, engineers, and business stakeholders to define use cases and translate requirements into technical solutions.
Optimize workflows for data ingestion, transformation, and feature engineering.
Collaborate with cloud architects to design cost-effective, high-performance data solutions.

Data Science Engineer

Analytics Engineer

• Understand client measurement/design requirements and translate these business requirements into written data collection implementation guides, tracking plans, etc.
• Provide best-practice consulting services with our client technical teams to install, configure, and use web analytics tools, tag management systems, A/B testing tools, and other digital marketing tools.
• Develop, customize, qa, and troubleshoot data collection code in complex environments with consistent use of tag management systems, JavaScript, HTML, and CSS.
• Identify and resolve data collection issues and gaps.
• Maintain established data collection audit standards and lead audits to provide our clients with a guide that fully describes existing data quality and steps for improvement.
• Recommend and implement analytics tracking code needed for ongoing reporting and analysis activities.
• Project manage multiple client requests and project activities at any one time.
• Lead client conversations, including recurring status meetings, ad hoc discussions, and ongoing digital communications (IM, email).

Personalization Strategy Lead

Data Science Engineer

Senior Analytics Developer