Sr. Manager, Lead Data Steward

Description

Position Purpose

The Lead Data Steward plays a pivotal role in shaping our regional data management infrastructure and strategy. The main responsibilities of this position are : to lead the program data management process using global best practices, to coordinate with the Data Stewardship Council at the enterprise level, to collaborate with the Group Global Data Governance Team, to oversee the program-wide ownership of business data elements, and to make critical data management decisions for the program.

Objectives include but are not limited to :

Building a model data management process for the pricing and marketing teams

Establishing the processes around data ownership (SME’s) with data source / use / destination documented, validated and maintained for all program data sets (Customer, Cost, Company & Market data)

Ensuring all data transformations are documented and can be validated

Aligning and documenting all KPIs (Key Performance Indicators), metrics, or calculations used in defined data sets

Identifying data risks through gap analysis and leading data risk mitigation planning and execution

Demonstrating organizational change leadership through disciplined approach to best-in- class data management

Scope

Region : Americas

Number of Reports

Total :

Number of Staff (indirect*) : 0

Total (FTE) : 1-2

Direct Reports :

Number of Staff (direct) : 0

Measures

This role will measure various aspects related to data quality, governance, and compliance to ensure that data assets are managed effectively and aligned with organizational objectives.

Some key metrics and indicators that a Lead Data Steward may measure include :

Data Quality Metrics : Accuracy, Completeness, Consistency, Timeliness and Validity

Data Governance Metrics : Adherence to Data Governance Policies, and Data Access Controls

Business Impact Metrics : Data-driven decision-making, Revenue generation, and Cost reduction

Stakeholder Satisfaction : Stakeholder feedback and engagement

Major / Key Accountabilities

Data Governance and Compliance - Collaboration with Global Data Governance Council, managing compliance, establishing regional standards to comply with industry standards and implementation of data quality frameworks

Data Architecture and Modelling - Contribution and collaboration with the program enterprise architect ensuring that the architectural designs align with business requirements, data governance policies and industry standards.

Data Strategy and Planning - Thought leadership in the organization’s overall data strategy and formation of business objectives.

Understands and applies the strategic priorities and needs of the organization. Identifies opportunities for leveraging data as an asset, and advocating for investment into data management capabilities and initiatives

Data Risk Management - Identifies potential risks to data sets, quality, security vulnerabilities, privacy concerns regulatory compliance risks, conducts risk assessments to communicate and track data-related risks, provides solutions, and orchestrates facilitation of efforts to mitigate future risks through decision-making and leveraging project teams working with the data

Data Integration - Collaborate and lead decision-making with integration project leads and stakeholders related to the program, provide guidance on data mapping, and data exchange formats to ensure interoperability across different platforms and environments.

Master Data (Lifecycle) Management - Defines, creates, and manages the data lifecycles of the focus area project, establishing processes and procedures, managing data changes, updates and approvals, ensuring that all changes are documented

Data Analytics and Visualization - Creates recommendations and collaborates with Sales Operations and / or Data Science teams to create data governance and data security visualizations / dashboards to demonstrate progress on the reduction of risk related to action taken to manage source data and the integrations impacting the organization

Data Security and Privacy - Creates and Implements data security and privacy measures to protect master data from unauthorized access for source systems, defining access controls, in accordance with industry standards

Stakeholder Management and Communication - Organizes and engages business stakeholders to understand their master data requirements and priorities, providing training and support to other data owners, and fosters a culture of data stewardship and accountability

Change Management, Leadership and Continuous Improvement - Works with Change Management to develop impacts of change in data management, managing data migration and conversion processes, monitoring post-implementation data impacts, and leveraging insights gained from learnings to refine the regional data governance practices / management policies

Challenges / Problem Solving

Challenges of the role include but are not limited to; Incomplete data, low data integrity, Low data ownership, low data maturity and low data efficiency

Must feel comfortable in ambiguity, providing discipline to an unstructured process, comfortable with transformation and leading transformational initiatives.

Authority / Decision Making

Working autonomously or having a disrupted level of line manager support with differing locations and / or time zones

Working in a matrix environment

Qualifications

Essential Qualifications :

Bachelor's or master's degree in computer science, Engineering, or a related field.

Strong understanding of Data Management techniques and how they are used to influence data quality

Desirable Qualifications :

Solid understanding of cloud platforms such and experience with related services

CIMP, CDMP, CISA, CDS, CAP, TOGAF, AWS Certified Big Data, CIPP

Experience

Experience setting up a framework for business data

Proven experience in a leadership role, managing and mentoring a team of data engineers

Experience in Data Analysis and reporting

Experience in data management, data governance, or related field

Experience with data governance tools and technologies (e.g., Collibra, Informatica Axon)

Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.

Experience in data risk management or data risk identification, auditing, or assessment

Experience in process management, design / redesign

Strong understanding of business processes, documentation, and role / capability / resource requirements to support data integrity, KPI’s to measure quality, and data lifecycle management

Familiarity with technology typically used to support MDM and / or large data validation, conversion, & migration efforts typically associated with ERP (Enterprise Resource Planning) implementations

Skills and Knowledge

Strategic thinking ability to understand the problem, then develop a sharp vision

Project Mgmt. execute on the vision

Change Management utilize change principles to allow for adoption

Leadership inspire and influence at all levels of the organization

Adaptive / Agile - navigate ambiguity, persevere during setbacks, maintain focus and flexibility

Process Mgmt. - knows how to organize people and activities; can see opportunities for constructive collaboration and integration where others cannot;

can simplify complex processes

Strategic communication ability to articulate the vision tailored to the audience at hand

Analytical problem solver and creative in complex situations to reach value driven results

Risk Management ability to identify, assess and mitigate

Organizational savvy - ability to understand political / culture landscape, dynamics and who to leverage to enact change

Languages

English

Preferred Education

Bachelors - Data Processing

Preferred Level of Work Experience

5 - 7 years

Remote Type

Not Remote

We are an Equal Opportunity Employer, and we are committed to developing a diverse workforce in which everyone is treated fairly, with respect, and has the opportunity to contribute to business success while realizing his or her potential.

This means harnessing the unique skills and experience that each individual brings and we do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state, or local protected class.

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