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Principal Data & Analytics Product Manager Commercial (Procurement)

Posted 2 Days Ago
Remote
9 Locations
Senior level
Remote
9 Locations
Senior level
The Principal Data & Analytics Product Manager will lead the roadmap and delivery of Commercial analytics, managing resources, defining product vision, and engaging with stakeholders to drive value creation.
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Job Description:

Royal Canin is undergoing a significant Digital Transformation journey. Our ability to solve the most critical problems across Mars in a User Centric way through Data & Analytics is fundamental to our growth ambition and transformation. Significant early success in this journey, and the introduction of many critical foundational capabilities, means that we are looking to accelerate our ability to solve problems and ultimately drive value for Mars Inc. 

The opportunities are significant for Mars, and the opportunities for those working in this space are both hugely exciting and rewarding. Connecting and deriving break-through insight from our Royal Canin and Petcare data ecosystems, leveraging the rapidly growing world of external data to get closer to our customers and consumers than ever before, and unlocking efficiencies and automation across our Commercial Function. 

Building on this momentum, we are recruiting a Principal D&A Product Manager to join our Royal Canin Global Data & Analytics Team who will accelerate the shaping and delivery of the Commercial Data & Analytics Agenda 

The Role 

The Global Commercial (Procurement) - Principal Data and Analytics Product Manager will manage the vision, roadmap, and delivery of a subset of the Commercial Data & Analytics solution portfolio. Starting with key Commercial business problems and/or future-back capability needs, the Principal Data & Analytics Product Manager will interface with market, regional, and global Commercial/ Procurement leaders, as well as functional experts, to build and deploy analytics products that create business value and advance the RC digital agenda. 

Key Responsibilities 

RC Division Focus 

· Partner with the Director, Global Analytics Product Management for VCO to continuously build a roadmap of highest-impact analytical product areas 

· For the Products they own, understand current state process, pain points, user personas, and existing tooling to synthesize many different viewpoints of the problem that the Product addresses into a clearly defined vision 

· Be the D&A gatekeeper to drive a value creation approach to all product business cases from Commercial ensuring they align with the RC and D&A global and where relevant local strategies. 

Architect the backlog of Epics that iteratively address the problem using the agile framework 

· Prioritize Epics into Product releases and advocate for resourcing to achieve Product goals 

· Oversee a squad of technical resources (internal & associates) that will be deployed to the Product through release execution 

· Evaluate solution’s ability to solve the problem through adoption and other value creation indicators 

· Lead the RC D&A relationship with the Commercial Team to define the key products, dependencies and Ecosystem Focus 

· Lead the interaction and engagement with the Commercial team to contribute and shape the ecosystem Digital Products portfolio and the requirements and adaptations within the RC division. 

· Elevate RC D&A as a leader in delivering the analytical & insights aspects of the RC Commercial products. 

· Act as “the glue” between D&A and Commercial to build an effective & efficient relationship across all interfaces in a highly complex stakeholder environment.  Driving the thought leadership and setting the long-term vision and strategy for D&A products, ensuring they align with Commercial goals. 

 

Context and Scope 

· This role requires a balance of 1) strategic inquiry to identify the underlying needs of Commercial stakeholders and influencing the organization to embrace new methods and technologies, mixed with 2) technical breadth to identify and apply art-of-the-possible with advanced analytics in Commercial. This role will partner heavily with Commercial leaders in the business, other D&A and Digital Technology members, and with functional experts to define the unique value proposition for each Product. It will also be critical for this leader to work closely with end users of the analytics products to ensure positive end user experience to deliver on adoption and sustained business value. This role must “lead with problems, not tools” in an unbiased way to determine when appropriate to drive scaling as-is versus when to opportunistically evolve the Product to support increasing competitive advantage. 

Knowledge / Experience 

· Strong track record of customer facing success and business acumen in working with teams to identify problems to solve, ideating on the art of the possible, and bringing possibilities to life 

· Strength in business-to-science translation to enable partnering with business teams and technology teams in bringing analytics product ideas to life 

· Analytics foundation – knowledgeable in both operations research and the data science domain 

· Experience in delivery management of analytical products, or awareness of the drivers of complexity within delivery 

· Practitioner & operational experience in the Commercial (Procurement) domain. 

Key Mars Leadership Competencies 

· Business Insight 

· Balances Stakeholders 

· Manages Ambiguity 

· Action Oriented 

· Cultivates Innovation 

· Tech Savvy 

#TBDDT

Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.

Top Skills

Agile Framework
Analytics
Data Science

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