Sr. Data & Analytics Architect

Post Holdings Inc.•Brentwood, MO

50d

About The Position

The Decision Science team helps our operating companies solve their most challenging problems and drives decisions with data. As a Senior Data & Analytics Architect, you will lead and collaborate with cross-functional teams to build scalable and efficient data products and solutions to enable data centric decision making. You will be at the forefront of shaping standards and executing best practices for all aspects of data management - naming, governing, managing, modeling, data engineering, data security etc. With your expertise in data modeling and leading analytics projects, you will be responsible for ensuring that data products that are built are robust, scalable, reflect the data architecture standards. You have excellent business engagement and leadership skills and thrive on building strong partnerships and working relationships with business and analytics leaders at all levels.

Requirements

Bachelor's degree in computer science, Information systems or another quantitative field is required or relevant experience
8-10 years of relevant experience in data architecture, data warehousing, or business intelligence, with a strong focus on enterprise-level data integration and platform development
5+ years of experience in leading data engineering teams or architecture teams, including responsibility for strategic data platform design and cross-enterprise collaboration
Advanced knowledge and hands-on experience in database design, dimensional modeling, and business intelligence design principles. Must possess strong SQL knowledge
Experienced in agile and waterfall project implementation methodologies
Hands-on experience developing analytics solutions using Snowflake, dbt, and Tableau. Should be able to communicate value and present insights
Strong working knowledge of ERPs such as JDE, SAP, Oracle eBiz, NetSuite and functional domains a plus
Working knowledge and experience in data governance, cataloging and data quality principles
Knowledge of CPG business function is preferred. Possess strong business acumen and consistently demonstrates forward thinking
Able to effectively work with ambiguous or incomplete information and is unphased by change
Ability to function under close deadlines with minimal supervision
Strong people skills, cooperative and assertive in coordinating with various stakeholders across the organization
Can quickly flex to changing priorities, ability to self-manage and multitask and lead the team in adapting to changes
Proactive thinker who is courageous to share his or her thoughts regardless of the level of the audience
Strong leadership skills: ability to use influence to build consensus between both leaders and peers
Self-motivated individual who can identify issues/opportunities for improvement and be proactive in addressing them
Demonstrates ownership of project outcomes and decisions
Intellectual curiosity, passion for problem-solving, a test-and-learn mentality and thrives in ambiguity
Bring a sense of fun, passion, and positive attitude to every day
Communicate in a succinct, friendly manner that promotes directness and respect. Able to translate complex concepts and situations into plain language & ability to speak both business and technical language
Voracious hunger for learning and desire to win

Nice To Haves

Strong working knowledge of ERPs such as JDE, SAP, Oracle eBiz, NetSuite and functional domains a plus
Knowledge of CPG business function is preferred. Possess strong business acumen and consistently demonstrates forward thinking

Responsibilities

Lead enterprise and divisional analytic projects, own end-to-end development and deployment, provide oversight of data architecture design, data quality and timely delivery
Work closely with business stakeholders across our businesses to understand their analytics needs and translate them into scalable and performant technical solutions and align architectural strategies with organizational goals
Lead the design and development of complex analytics and data products that address supply chain marketing and back-office challenges and opportunities
Be the subject matter expert for the current capabilities, data elements and metrics available in the data lake, with a thorough understanding of the existing data pipelines, schedules and dependencies
Define and enforce development guidelines, standards and best practices for data integration pipelines and data management
Ensure data quality, security, and governance across all analytics solutions. Think like an owner and a champion of data platform quality, performance, and data integrity so that it's something you are proud of
Define, create and maintain artifacts of Enterprise Data solutions such as data flow diagrams, conceptual/logical data models, data dictionaries
Get your hands dirty with data integration tools and providing end-to-end data solution designs (both high-level and low-level)
Collaborate with D&A teams across the Enterprise to understand data management needs, provide thought leadership in data-related projects and initiatives
Work closely with data architects and engineers to ensure all data products are cataloged in conformance with standards and cataloging is practiced as an integral part of data product lifecycle
Champion the adoption of data catalog to enable driving value through collaboration
Develop and maintain metrics and KPI's tracking the health of data from the perspective of quality, availability, usability, and other factors relevant to business interests
Works with the Data Governance Analyst to help implement policies; processes defined in the governance framework
Foster innovation by keeping abreast of emerging technologies, creating scalable architectures to drive continuous innovation
Build visibility and awareness of the gap between current state architecture and future state and influence project and product roadmaps in their journey to the adoption of the future state. Identify opportunities to optimize system performance, scalability, and reliability through architectural enhancements, code optimizations, etc.
Seek to simplify process, architecture and tool selection over time with elegant design
Be a problem finder to uncover opportunities for improvement in the business
Challenge the status quo with new data products, technologies, and innovative problem solutions
Monitor industry trends, remain current with industry best practices and identify emerging technologies that should be adopted
Encourage and inspire others to find creative solutions, embrace change and collaborate on innovative approaches to achieve business outcomes
Championing continuous improvement initiatives to elevate the game and operational maturity of the team
Develop a roadmap of the capabilities needed on the team to reach strategic objectives and effectively match people, their interest and ability levels to drive them to achieve their personal best
Mentor junior data management system team on data management system and solution methods, best practices, and applications