Director, Business Analyst

The Coca‑Cola Company

Confirmed live yesterday High trust
Closes in 5 days

Quick summary

Work type
On-site
Location
Atlanta, GA
Posted
3 days ago
Freshness
Confirmed live yesterday
Closes
Sep 22, 2026 (soon)

Market check

Salary context

How this pay compares to similar roles

Similar $195k
$128k most similar roles pay here $262k

This listing doesn't post a salary. Most similar roles pay $141,031–$249,225.

Based on 240 similar postings.

Employer

About The Coca‑Cola Company

The Coca-Cola Company is the world''s largest beverage company, producing and distributing iconic soft drinks, juices, water, and other beverages across more than 200 countries. Industry: Beverages & Consumer Goods

The Coca‑Cola Company currently has 16 open roles on FindRole.

Listed pay typically runs $202,000–$229,000 across 15 roles with salary data.

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View all roles at The Coca‑Cola Company

At a glance

TL;DR · Director, Business Analyst

The Director, Business Analyst joins the Digital Product & Engineering team to serve as a strategic bridge between business opportunities and digital product execution. This role leads discovery, business analysis, and value-definition activities to shape future investments and innovation initiatives across the Global Digital Network. You will conduct stakeholder interviews, journey mapping, and process assessments to translate complex challenges into actionable requirements, user stories, and business cases. The position involves evaluating emerging technologies, artificial intelligence solutions, and automation opportunities to determine their potential impact on business outcomes. Key responsibilities include defining minimum viable products, establishing performance metrics, and managing portfolio planning. Required skills include expertise in Agile methodology, SDLC, process modeling, and data literacy. You will utilize tools like Microsoft Azure and Office while leveraging deep knowledge of cloud solutions and digital transformation strategies to drive measurable value.

What you'll do

  • Lead discovery activities including stakeholder interviews, workshops, journey mapping, and requirements elicitation to identify problems worth solving.
  • Translate strategic goals and business needs into defined capabilities, user stories, and product hypotheses for engineering teams.
  • Develop business cases, value assessments, and investment recommendations to support funding and prioritization decisions.
  • Evaluate emerging technologies, artificial intelligence solutions, and automation opportunities to determine their potential business impact.
  • Define and monitor key performance indicators and value realization metrics to assess the effectiveness of digital products.
  • Facilitate cross-functional workshops to align stakeholders on product direction, risks, dependencies, and expected outcomes.
  • Support portfolio planning by identifying organizational impacts, change requirements, and project risks.
  • Drive the continuous improvement of business analysis practices, tools, and methodologies across the organization.

What we're looking for

  • Bachelor's degree in Business Administration, Information Systems, Computer Science, Engineering, Economics, Data Analytics, or a related field.
  • Master's degree (preferred).
  • 8+ years of experience in business analysis, product management, digital transformation, consulting, strategy, operations, or related disciplines.
  • 5+ years of experience leading complex cross-functional initiatives within global or highly matrixed organizations.
  • Experience conducting business discovery, requirements analysis, process optimization, and value realization for digital products or technology programs.
  • Expertise in business analysis methodologies, including requirements management, process modeling, journey mapping, and capability assessment.
  • Ability to develop business cases, investment recommendations, benefits analyses, and value measurement frameworks.
  • Digital fluency with knowledge of cloud solutions, automation, data platforms, and artificial intelligence applications.

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