As Associate Director, you will be the general manager for select key technology initiatives in NA.  As the lead for a market data foundation transformation, you will own end-to-end delivery of the program for North America, including aligning 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-budget delivery; and transparent stakeholder communication. 

Main Areas of Responsibilities 

• Program strategy & planning: Define program scope, outcomes, milestones, dependencies, and delivery approach across Cortex workstreams; maintain an 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: Establish and run governance forums (SteerCo, working groups), manage RAID (risks, assumptions, issues, dependencies), and ensure timely decisions and clear accountability. 

• Product interdependency management: Coordinate planning and dependencies with other products consuming the data foundation,   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 and realized benefits. 

• 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 

• Excellent communication, collaboration and interpersonal skills. High emotional intelligence 

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

• Bachelor’s degree required; 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