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Today

Senior Manager, Digital Marketing

Head to Toe Brands Southlake, TX

Southlake, TX

Today

$100k - $110k/yr Full time Manager Ai Marketing Campaign Management

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Job Description

Head to Toe Brands is hiring a Senior Manager, Digital Marketing for an onsite role in Southlake, TX (salary range USD 100,000 - 110,000 per year). In this position, you will lead performance marketing across the portfolio, strengthen results through paid media strategy and optimization, and connect national planning to local market needs. You’ll also collaborate closely with cross-functional teams and preferred agency partners, while delivering monthly reporting that turns data into clear recommendations.

What you’ll get

Medical
Dental
Vision

Responsibilities

Develop, evaluate, and optimize digital advertising strategies, including media mix, audience targeting, and campaign structures across national and local levels.
Drive performance across paid search (PPC), display, and paid social platforms such as Facebook, Instagram, and YouTube, including emerging channels.
Lead preferred agency partners and hold them accountable for execution, optimization, testing, pacing, and performance against KPIs and business goals.
Maintain hands-on expertise in major advertising platforms and, when needed, build, launch, manage, or optimize campaigns internally to support testing and special initiatives.
Partner across internal marketing, creative, operations, and local marketing teams to create culturally relevant ad creative and landing page experiences informed by performance and consumer behavior.
Monitor and optimize media performance using KPIs, historical results, industry benchmarks, and business goals.
Create and manage A/B testing plans, document learnings, and share insights across teams and brands to improve results over time.
Review franchisee digital advertising KPIs monthly in partnership with Operations, Local Marketing, and agency partners to identify underperforming locations and recommend improvements.
Identify top-performing locations and document or share best practices across the system based on monthly KPI reviews.
Surface broader trends and opportunities that can improve digital media performance across brands.
Meet regularly with franchisees to review performance, present data in an approachable way, answer questions, and provide strategic guidance.
Build franchisee confidence and buy-in around digital media strategy by clearly communicating program value and supporting adoption of preferred agency partners and best practices.
Own monthly digital performance reporting across brands, channels, campaigns, and local markets, ensuring accuracy, consistency, and KPI focus.
Interpret performance beyond the numbers by identifying trends, diagnosing challenges, and translating data into recommendations and next steps.
Create concise executive summaries covering what happened, why it happened, what it means, and what to do next.
Present performance, insights, and recommendations to franchisees, cross-functional partners, brand leadership, and executive stakeholders with appropriate levels of detail.
Support social and content with quarterly social media reporting, including quantitative KPI analysis and qualitative evaluation, then translate insights into recommendations that inform national paid social strategy, media spend, creative development, and organic planning.
Support email marketing initiatives, including development and optimization of email templates and campaigns, segmentation, testing, deployment, and performance reporting.
Collaborate with the Digital Marketing Senior Director to identify and prioritize CRO and overall digital customer experience opportunities.
Support SEO, AI, and digital discoverability initiatives aimed at increasing qualified website traffic, lead generation, and conversion.
Assist with website enhancement and feature-release projects through testing, quality assurance, and launch.
Use website, search, and campaign performance data to identify ongoing optimization opportunities.

Requirements

Minimum 8 years of digital performance marketing experience; franchise, multi-location, or agency experience strongly preferred.
Bachelor’s degree required, ideally in marketing, business, information systems, data science, statistics, or a related field.
Proven experience managing and optimizing paid digital media against CPL, CPA, conversion, and ROI goals.
Hands-on experience building, launching, and optimizing campaigns in major paid media platforms, even within an agency-led media model.
Ability to execute campaigns internally when needed while primarily serving as the strategic lead for agency-managed programs.
Strong analytical skills with the ability to translate complex performance data into insights and business decisions.
Exceptional presentation and data storytelling skills for franchisees and executive stakeholders.
Experience creating clear executive summaries that communicate findings, business impact, and recommended next steps.
Cross-functional experience across marketing, operations, creative, analytics, and/or technology teams.
Proven relationship-building and communication skills, including translating performance data into actionable recommendations.
Experience managing agency partners, setting performance expectations, and holding them accountable for optimization and results.
Ability to balance strategic thinking with hands-on execution in a fast-paced, multi-brand environment.
Strong project management skills with attention to detail and follow-through.
Proficiency with analytics and marketing tools, including GA4, Google Tag Manager, Google Search Console, Google Ads, and Meta Business Suite/Ads Manager.
Microsoft Word, Excel, PowerPoint, and Teams.
Digital marketing and analytics platform familiarity including AI.

Technologies

Google Analytics 4 (GA4)
Google Tag Manager
Google Search Console
Google Ads
Meta Business Suite/Ads Manager
Facebook
Instagram
YouTube
Microsoft Word, Excel, PowerPoint, Teams
AI

Salary

$100k-110k

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8d ago

Marketing Data Analyst

Hoover Institution, Stanford University Stanford, CA

Stanford, CA

8d ago

$41 - $45/hr Full time Marketing Bigquery Business Analytics

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Job Description

Hoover Institution at Stanford University is looking for an Audience & Marketing Insights Analyst to turn marketing data into decision-ready insights. In this role, you will build the pipelines, models, and measurement frameworks that help the organization understand reach, resonance, relationships, and what to change to improve outcomes. Success is defined by the quality of decisions your insights inform.

Stanford, CA (onsite) with an hourly rate of USD 41 to 45. The role requires 2 years of relevant experience and a bachelor’s degree in a relevant field (or an equivalent mix of education and quantitative analytical problem-solving).

What you’ll do

Build and maintain automated ELT pipelines that pull data from HubSpot, GA4, social, video, podcast, paid media, and event platforms into BigQuery using APIs and native integrations.
Organize marketing and audience data in BigQuery using a medallion architecture, and use Dataform transformations to convert raw and semi-structured sources (including GA4 event export and JSON API responses) into cleaned, reporting-ready tables.
Document data models, shared identifiers, transformation rules, and metric definitions in a data dictionary so marketing, audience, CRM, web, and content data connect reliably.
Monitor pipeline health and data freshness so issues are caught early, and manage work with Git and GitHub for reproducibility and maintainability.
Ensure responsible handling of audience and contact data, credentials, and system access in line with Stanford privacy and information security policies and applicable regulations.
Support accurate campaign performance measurement by ensuring campaigns launch with the right tracking, tagging, and measurement plans, including consistent campaign naming and UTM conventions.
Partner with web developers to define GA4 event and data layer specifications, and QA tracking using tools such as Google Tag Manager preview mode and GA4 DebugView.
Troubleshoot tracking and data-quality issues across Hoover’s web team and external partners, including investigating discrepancies between GA4, HubSpot, and platform-reported figures.
Analyze who Hoover is reaching and how effectively priority audiences are engaged, using CRM, web, platform, event, and survey data.
Develop measurement frameworks and KPIs for reach, resonance, and relationships, distinguishing high-volume activity from engaged reading, viewing, and listening.
Build audience cohorts and segments based on acquisition source, content interests, behavior, and relationship to Hoover.
Run pre-, during-, and post-campaign analyses against objectives, and identify what audience, creative, message, format, timing, and platform elements drive performance.
Measure incremental impact of paid promotion using holdout groups, geographic tests, or platform lift studies where feasible; separate paid, organic, earned, and direct activity.
Assess marketing costs and outcomes, including cost per engaged visitor, new subscriber, and event registrant, to support evidence-based budget allocation.
Design and analyze A/B and multivariate tests across email, web, landing pages, paid media, messaging, and creative, with hypotheses, success metrics, minimum detectable effects, and required sample sizes.
Create automated cross-channel dashboards (for example, in Looker Studio built on BigQuery reporting tables) and produce regular reporting and executive-level analyses for nontechnical audiences.
Proactively identify patterns, opportunities, and risks in the data, then follow through to evaluate whether recommendations improved outcomes.
Contribute additional duties as needed.

What you bring

Bachelor’s degree in a relevant field and two years of relevant experience, or a combination of education and relevant experience solving analytical problems using quantitative approaches.
Experience in marketing analytics, audience analytics, or digital analytics, working directly with marketing, communications, or content teams.
Demonstrated ability to combine data from multiple platforms and turn it into recommendations that shaped marketing, content, or audience decisions.
Ability to communicate analytical findings to nontechnical stakeholders.

Technical skills and tools

GA4 (event-based data model, custom events/parameters/custom dimensions, key events, Explorations) and correct interpretation of reporting impacts from attribution settings, consent mode, and data thresholding.
Data layer and Google Tag Manager, including tracking specifications and debugging with preview tools.
HubSpot experience with contacts, custom objects, properties, lifecycle stages, lists, marketing email, forms, and subscriptions, plus awareness of email open-rate limitations (including Apple Mail Privacy Protection).
UTM tracking, campaign taxonomy, Google Search Console, and native analytics for platforms such as YouTube Studio, Meta Business Suite, LinkedIn, and Google Ads.
BigQuery and Dataform for storing, querying, and transforming data (including nested/repeated fields), with cost-aware querying.
SQL for joins, window functions, CTEs, and working with JSON/text via regex and text functions.
Python and JavaScript for data processing, automation, and integration (including API calls, cleaning, statistical analysis, and GTM-related scripting).
REST API integration and ELT pipelines on Google Cloud, including authentication, pagination, rate limits, and monitoring/error handling.
Medallion architecture and mapping reporting logic to documented metric definitions using shared identifiers across systems (CRM record IDs, GA4 user IDs, UTM parameters).
Git/GitHub, Visual Studio Code, and command-line tools such as Bash, gcloud, and bq.
Experimentation and statistical testing experience, including A/B and multivariate testing with power analysis, confidence intervals, and correct use of two-proportion z-tests, t-tests, and chi-square tests.
Dashboarding in Looker Studio and/or Tableau or Power BI.
Google Sheets and Excel for quick-turn, stakeholder-ready work.

Preferred experience

Experience with cohort analysis, audience segmentation, funnel analysis, and audience journey analysis.
Experience with attribution modeling, incrementality testing, or marketing mix modeling (for example, Google’s Meridian or Meta’s Robyn).
Experience with regression analysis, Bayesian or sequential testing methods, and causal inference techniques such as difference-in-differences or synthetic control.
Experience with dbt, managed ELT connectors (such as Fivetran, Supermetrics, or Airbyte), Google Cloud services like Cloud Run/Cloud Scheduler/Secret Manager, and CI/CD tools such as GitHub Actions.
Experience using AI responsibly in line with institutional policy, including BigQuery ML or NLP workflows, and AI coding assistants to accelerate development.
Familiarity with web and UX analytics (such as Microsoft Clarity, Hotjar, Chartbeat, Parse.ly), SEO tools (Semrush, Ahrefs), survey tools (Qualtrics, SurveyMonkey), and social listening (Sprout Social, Brandwatch).
Experience in media, publishing, think tanks, nonprofits, higher education, or other mission-driven, content-focused organizations.
Interest in public policy, economics, history, or current affairs, and how ideas reach and influence audiences.

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