Associate Director, Technology

As Associate Director, you will bethe general manager for select key technology initiatives inNA. As the lead for a market data foundation transformation, you will own end-to-end delivery of the program for North America, includingaligning business priorities, defining the roadmap, and ensuring consistent execution across workstreams. You will translate business outcomes into a clear plan, coordinate cross-functional teams, and drive governance, risk management, and change management to ensure adoption and measurable value. You will be accountable for on-time, on-budgetdelivery;andtransparent stakeholder communication.

Main Areas of Responsibilities

• Program strategy & planning: Define program scope, outcomes, milestones, dependencies, and delivery approach across Cortex workstreams;maintainan integrated program plan and delivery cadence.

• Stakeholder leadership: Partner with senior business and technology leaders to align priorities, set expectations, and communicate progress, decisions, and trade-offs.

• Governance & decisioning:Establishand run governance forums (SteerCo, working groups), manage RAID (risks, assumptions, issues, dependencies), and ensuretimelydecisions and clear accountability.

• Product interdependencymanagement: Coordinate planningand dependencies with otherproducts consuming the datafoundation,  Track delivery health, manage scope changes, and remove blockers to keep teams moving.

• Benefits & adoption: Define success metrics, drive change management and training plans, and partner with business owners to measure adoption andrealizedbenefits.

• Cross-team alignment: Ensure alignment between North America needs and global product/data platform capabilities; translate local requirements into clear epics/stories and ensure fit-for-market delivery.

• Vendor & partner management: Manage third-party delivery partners (as applicable), including scope, deliverables, timelines, and performance; ensure smooth handoffs and quality outcomes.

Skills

• Proven experience driving complex, cross-functional programs end-to-end (planning, execution, governance, and benefits realization)
  Data & digital fluency – strong understanding of data platforms, analytics/AI products, and modern delivery methods (Agile/iterative delivery). Experience with analytics, insights, marketing technology, or measurement products

• Experience working closely with senior stakeholders and executive level communications

• Stakeholder management – ability to influence across business and technology leadership; strong facilitation and decision-making support

• Ability to troubleshoot and resolve technical issues

• Excellentcommunication,collaborationand interpersonal skills. High emotional intelligence

• Track recordof developing exceptional talent and teams

• Data & digital fluency – strong understanding of data platforms, analytics/AI products, and modern delivery methods (Agile/iterative delivery)

• Structured problem solving – ability to synthesize ambiguity into clear plans, risks, and actionable next steps

• Change management – experience driving communications, training, and adoption across diverse user groups

•  Communication – crisp executive-ready written and verbal communication; strong storytelling with data

Preferred qualifications 

• 7+ years of experience inproduct management,management consulting, or technology transformation/strategy

• Hands-on experience coordinating delivery across data engineering, product, and business teams; familiarity with Agile and release management

• Experience leading executive-level communications, steering committees, and decision forums

• Strong cross-functional leadership with the ability to drive alignment across competing priorities and ambiguous problem spaces

• Experience building and managing RAID logs, dependency maps, and integrated plans for complex programs

• High EQ and strong collaboration skills; able to motivate teams without direct authority

• Track recordof improving delivery operations (cadence, reporting, rituals) and scaling repeatable ways of working

• Bachelor’s degreerequired;Master’s degree in business, computer science, engineering, or related field preferred

• Experience in FMCG/CPG/retail and/or enterprise-scale data programs is a plus